Bearing dataset.
Bearing fault dataset collected by Jiangnan University.
Bearing dataset The authors have included annotation guidelines and provided examples and explanation for bearings and their respective condition state This dataset is commonly used as benchmark for bearing fault classification algorithm (Link), which contains vibration signal data of normal and fault bearings. Berghout, L. Nov 9, 2024 · This rolling bearing dataset was collected using the QPZZ-II rotating machinery fault simulation test rig developed by Jiangsu Qianpeng Diagnostic Engineering Co. 1016/j. Dataset Description The FEMTO (PRONOSTIA) Bearing dataset contains recordings from bearing degradation experiments under three different operating conditions (sub-datasets). An electromyographic-type acceleration sensor was used in this experiment, which was placed in the horizontal X and vertical Y directions of the bearing housing on the test rig. g. Feb 12, 2004 · IMS-DATASET The data was generated by the NSF I/UCR Center for Intelligent Maintenance Systems (IMS – www. Jul 9, 2025 · Paderborn Bearing Package This package is created to extract and preprocess the Paderborn bearing datasets provided by the Paderborn University Faculty of Mechanical Engineering. Therefore, the objective of this work is to propose a diverse dataset for ball bearing fault diagnosis based on vibration. China. pdf for more information Jan 11, 2021 · The train wheelset bearing dataset and the bearing dataset provided by Case Western Reserve University (CWRU) are used to verify the superiority of the proposed model over the basic CNN and other Bearing The Bearing dataset from NASA is used for prognostic technology development, addressing gaps in prognostic technologies for aeronautics and space exploration applications. 12. Aug 1, 2023 · The collection and analysis of data play a critical role in detecting and diagnosing faults in bearings. NASA Bearing Dataset (6Gb): Example of this dataset in a notebook ⭐ Another NASA Bearing Dataset (1Gb) Bearing Data Center. Jul 3, 2025 · This dataset comprises five categories of bearing signals: Ball fault (Ball), Inner ring fault (Inner), Outer ring fault (Outer), Combined fault involving both the inner and outer rings (Comb), and Healthy condition (Health). It comprises 11 different cases each, except case 11, describing a bearing fault before the bearing was changed. , Ltd. While conventional machine learning (ML) methods, including artificial neural network, principal component analysis, support vector machines, etc. Abstract In this survey paper, we systematically summarize existing literature on bearing fault di-agnostics with deep learning (DL) algorithms. Measurements were obtained from both the drive end and fan end locations, with healthy and faulty bearings installed un-der four operational motor load conditions for each fault type. This dataset comprises vibration signals from bearings in 9 different health states under 11 distinct operating conditions. in Milwaukee, WI 1 accelerometer for each bearing (4 bearings) All failures occurred after exceeding designed life time of the bearing which is more than 100 million revolutions. Jul 2, 2023 · This bearing datasets has high data quality and obvious fault characteristics, so it is a commonly used bearing fault diagnosis standard dataset. The fault type is divided into three types, namely inner ring fault, rolling body fault and outer ring fault, and each fault type is divided into three fault sizes: 0. There are 36 datasets in total. As far as the experimental procedure is concerned, the CWRU webpage states: Motor bearings were seeded with faults using Oct 5, 2021 · This is a dataset of structural bridge bearings. 1109/TEC. 05 mm (width × depth) tiny dents were processed on the 5MW Wind Turbine Drivetrain Bearing Damage Dataset Dataset Description Dataset containing vibration signals from the NREL 5MW reference drivetrain model with different bearing conditions. Both of these damaged bearing states, two options are available where the damages are located, e. val, or femto_st. Refer to femto-details. According to the type of defect, the images are divided into four categories: depression, scratch, notch, and oil strain. Data files are in Matlab format. Out of many publicly available datasets, Case Western Reserve University (CWRU) bearing dataset has been widely used to detect and diagnose machinery bearing fault and is accepted as a standard reference for validating the models. Contribute to JvdHoogen/multivariate_cwru development by creating an account on GitHub. The sampling frequency is 50 kHz, and the rotational speeds are 600 r/min, 800 r/min, and 1000 r/min, respectively. May 10, 2025 · The PU Bearing Dataset contains vibration signals from bearings with different fault conditions. Three different operation conditions were used, resulting in three sub-datasets. Abstract In this work, we introduce a practical dataset named HUST bearing, that provides a large set of vibration data on different ball bearings. 3 mm × 0. IMS-Rexnord Bearing Dataset includes vibration data from test-to-failure experiments on four bearings at 2000 RPM under a 6000 lbs load. 3116423. Bentrcia and M. Case 11 contains a fault that is not related to the bearing which can be used to test the tendency of methods to generate false alarms Apr 26, 2025 · IMS Dataset Relevant source files Purpose and Scope This document provides technical documentation on the Intelligent Maintenance Systems (IMS) bearing dataset and its implementation within the Vibdata library. For bearing fault diagnosis, the data acquisition is time-consuming with complicated processes. Original data comes from the official bearing vibration data of Western Reserve University [1]. train, femto_st. Nov 1, 2022 · Early and accurate detection of bearing faults is essential for the safe and reliable working of industrial machinery units. Package for preprocessing CWRU Bearing dataset. cn/datasets/bear/ (大家 The bearing type used for this dataset generation is 6203, which stands for Deep Groove Ball Bearings with dimensions (inner diameter, outer diameter, and width) – 17X40X12mm. Diagnosing bearing defects is crucial for preventative maintenance, and deep learning models have shown promising results in this field. Dec 5, 2024 · The dataset contains vibration measurements from a pulp mill collected between 2019 and the end of 2022 that describe different health states of bearings. The data correspond to time-series measured at locations near to and remote from motor bearings of a 2 HP Reliance Electric motor. These datasets are publicly available, and anyone can use them to validate diagnosis algorithms for rolling element bearings. Apr 15, 2022 · This paper investigates the use of the Case Western Reserve University (CWRU) bearing dataset for benchmarking bearing fault diagnosis convolutional neural networks (CNNs) in a domain shift problem. Experiments were conducted using a 2 hp Reliance Electric motor, and acceleration data was measured at locations near to and remote from the motor bearings. Mar 28, 2025 · PU Bearing Dataset 39: The experimental setup for the PU bearing dataset is shown in Fig. The common method for using the CWRU dataset for demonstrating domain shift is described and a potential flaw is identified. To access train, validation, and test samples use femto_st. 2021. Contribute to opprud/bearing_dataset development by creating an account on GitHub. There are two kinds of working conditions with rotating speed - load configuration set to be 20-0 and 30-2. The bearings are made to operate until failure, which majorly occurred after they exceeded their designed lifetime of 100 million revolutions. The current version supports all operating systems, but keep in mind that you Datasets CWRU Bearing Dataset MFPT Bearing Dataset PU Bearing Dataset UoC Gear Fault Dataset XJTU-SY Bearing Dataset SEU Gearbox Dataset JNU Bearing Dataset Jan 11, 2021 · Several benchmark datasets are developed to evaluate development in bearings health state (diagnosis) and remaining useful lifetime (prognosis). A python toolkit for bearing fault detection using deep learning - mohammadkazem-sadoughi/pybearing The dataset consists of vibration signals captured using PCB 353B33 High Sensitivity Quartz ICP accelerometers installed on bearing housings. To facilitate use, labels can be created using the labelimg tool, and you can format them into either COCO dataset format or VOC dataset format. Oct 20, 2022 · The authors of the paper "Intelligent bearing fault diagnosis using swarm decomposition method and new hybrid particle swarm optimization algorithm" conducted an experiment to simulate faults in rotating machines. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. The health conditions of the bearing include (i) healthy, (ii) faulty with an inner race defect, and (iii) faulty Feb 1, 2023 · Project description Introduction The py-cwru is a bearing fault diagnosis dataset and all pythonic, which can be applied to Deep Learning, Transfer Learning and Semi-Supervised Learning (domain adaptation), etc. Data was collected at 12,000 samples/second and at 48,000 samples/second for drive end bearing experiments. The reference paper for this dataset is available at: DOI: 10. This repository contains researches dedicated to classification of bearing fault based on vibrational signals' spectrograms, using deep neural network to identify the type of defect. Jul 6, 2023 · Objectives The rapid growth of machine learning methods has led to an increase in the demand for data. Prognostic Dataset for Predictive/Preventive MaintenanceSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. 401-412, 2020. Case 11 contains a fault that is not related to the bearing which can be used to test methods' tendency to generate false alarms 轴承故障数据集. test, respectively. Data for bearing faults diagnosis using vibration/acceleration signals A list of awesome and diverse datasets related to space vehicle engineering for industry and research. The datasets contain complete run-to-failure data of 15 rolling element bearings that were acquired by conducting many accelerated degradation experiments. Apr 28, 2025 · The Prognostics Data Repository is a collection of data sets that have been donated by universities, agencies, or companies. Using wire cutting processing technology, 0. The bearing used in the experiment was model NU205EM. It was part of the 2012 IEEE Prognostics Challenge. **processeddata Add this topic to your repo To associate your repository with the ims-bearing-data-set topic, visit your repo's landing page and select "manage topics. . The main characteristic of the data set are: Synchronously measured motor currents and vibration signals with high resolution and sampling rate of 26 damaged bearing states and 6 undamaged (healthy) states for reference. renene. May 7, 2023 · The scratch defect appears as a bright line with random shapes and multi-scales, while the press defect appears as an irregular bright spot. The following table lists the detailed information of each tested bearing Dec 10, 2024 · This project develops an intelligent system for early fault detection in industrial bearings using advanced signal processing and machine learning. zip). This repository contains bearing datasets used in the paper "Multisource cross-domain fault diagnosis of rolling bearing based on subdomain adaptation network". For each dataset, there are two experimental settings: bearing health condition and varying speed condition. The FEMTO (PRONOSTIA) Bearing dataset is a collection of run-to-failure experiments on bearings. On the other hand, the high complexity of these models can lead to high computational and data processing 3 Data Sets for Diagnostics and Prognostics Table Appendix: Overview of Publicly Available Data Sets in the Appendix: Overview of Publicly Available Data Sets contains an overview of publicly available data sets for the tasks of diagnostics and prognostics within PHM, sorted alphabetically. The project provides an intuitive CLI for proposed algorithms. , inner race (IR) and outer race (OR). May 12, 2023 · In this paper, a comparison of signal analysis techniques for the diagnostics of rolling element bearings is carried out. imscenter. May 27, 2024 · The data set is from the Case Western Reserve University Rolling Bearing data set. 021 inches The dataset is split into training, validation, and testing portions, represented by FEMTOPartition objects. Utilizing the NASA Bearing Dataset, which captures progression of inner race defects, roller element damage, and outer race deterioration, the system analyzes vibration signatures to detect impending failures before critical damage occurs. The CWRU dataset is widely used for fault diagnosis and prognostics of rotating machinery. Existing datasets are only focused on only one type of bearing, which limits real-world applications. For all files, the following item in the variable name Feb 19, 2025 · NASA Bearing Dataset Analysis and Modelling for Predictive Maintenance - Technical Scale Project - ChoCho66/PM-NASA-Bearing-Datas-IMS Jan 12, 2023 · The dataset for demo code: Theory-guided-Progressive-Transfer-Learning-Network-TPTLN Bearing defects are a common problem in rotating machines and equipment that can lead to unexpected downtime, costly repairs, and even safety hazards. The CWRU bearing dataset is recognized as the standard reference and Jun 28, 2023 · The dataset contains vibration measurements from a pulp mill collected between 2019 and the end of 2022 that describe different health states of bearings. Mar 28, 2022 · For the classification of small sample rolling bearing fault datasets, we propose a coupling vibration data classification method based on triplet embedding. These datasets are publicly available and anyone can use them to validate prognostics algorithms of rolling element bearings. Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Compared to other datasets, the PU dataset is distinguished by its inclusion of extensive motor-driven system fault data, offering researchers a comprehensive experimental platform for bearing fault diagnosis. Download a Data File Data was collected for normal bearings, single-point drive end and fan end defects. Key Jul 23, 2024 · The dataset encompasses bearings with single-point faults of varying sizes in the inner race, outer race, and rolling element (ball), as well as healthy bearings. Vibration signals of 4 classes of bearings were measured in the experiment, namely: normal bearing without fault (N) bearing with single point fault at the inner raceway (IR) bearing with single point fault at the outer raceway (OR Oct 22, 2003 · This project is an extensive exploration of bearing failure detection using various statistical and machine learning models. Among these datasets, Case Western Reserve University (CWRU) dataset is one of the most cited ones used to validate the performance of different diagnostic approaches. Benbouzid, "A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction," in IEEE Transactions on Energy Conversion, doi: 10. IMS Bearings Experiments on bearings. - SivaRi Jul 6, 2023 · For bearing fault diagnosis, the data acquisition is time-consuming with complicated processes. This is the extended overview from [4], presented in [5]. Pronostia femto bearing dataset provides run-to-failure (RTF) data for bearings under different operating conditions, allowing researchers to develop models for bearing failure prediction. Experienced quality inspectors on site Download scientific diagram | Description of the NASA bearing datasets from publication: Remaining useful life prediction of rolling bearings based on the three-parameter Weibull distribution Download scientific diagram | Sample description of the MFPT dataset. It contains data from four different loads, which are treated as four different working conditions. Publications making use of the HUSTbearing datasets are requested to cite the following paper. 007, 0. 049 This is a subset of the original dataset available at Zenodo. 014 and 0. The CWRU bearing dataset is used for fault diagnosis applications. To overcome this challenge, the University of Ottawa Rolling-element Bearing Vibration and Acoustic Fault Signature Datasets Operating under Constant Load and Speed Conditions are This dataset contains 2 subdatasets, including bearing data and gear data, which are both acquired on Drivetrain Dynamics Simulator (DDS). The data repository focuses Feb 5, 2023 · The bearing-python is package which include common bearing fault diagnosis dataset implement in numpy, CWRU [1], Paderborn [2] and Jnu [3], etc. SK6205 bearing located at the drive end is selected as the research object, and the acquisition frequency is 12KHz. Data was collected from three test-to-failure experiments, where each file contains a 1-second vibration signal snapshot with 20,480 data points sampled at 20 kHz. It comprises 11 cases each, except case 11, describing a bearing fault before the bearing was changed. Provided by IMS, University of Cincinnati, it's useful for predictive maintenance and fault detection. The data set was provided by the Center for Intelligent Maintenance Systems (IMS), University of Cincinnati. For each sampling, the acquired data were saved as a CSV file, in which the first column is the horizontal vibration signals and the second column is the vertical vibration signals. A useful exploration of the dataset as a tool for benchmarking is given by Smith and Randall [4]. CWRU Bearing Dataset 本文引用 西斯凯储轴承数据中心网站 数据集提供 正常 和 故障 的滚珠轴承测试数据。 实验使用一台2马力的可靠电机，并在 贴近电机轴承 和 远离电机轴承 的位置测量加速度数据。 为每个实验详细记录电机的实际测试条件以及轴承故障状态。 Oct 12, 2018 · The data contain vibration signals collected from bearings of different health conditions under time-varying rotational speed conditions. Supportive measurement of speed, torque, radial load, and temperature. However, the availability of large open-access rolling-element bearing datasets for fault diagnosis is limited. - patrickfleith/awesome-spacecraft-engineering-datasets Jun 29, 2021 · Dataset details The run-to-failure data of 15 rolling element bearings are included in the data packet (XJTU-SY_Bearing_Datasets. The test rig uses the PCB MA352A60 acceleration sensor to collect vibration signals in the vertical direction. The damaged bearings are divided into artificial and real damages. This dataset contains 90 raw vibration data of 6 types of defects (inner crack, outer crack, ball crack, and their 2-combinations) on 5 types of bearing at 3 working conditions with the sample rate of 51,200 samples per second. Jan 28, 2024 · The CWRU dataset, offered by Case Western Reserve University, is a widely-used, open-source dataset that is easily accessible. Oct 22, 2003 · 相关论文： Analysis of the Rolling Element Bearing data set of the Center for Intelligent Maintenance Systems of the University of Cincinnati Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics The CWRU Bearing dataset is an open-source dataset provided here by the Case School of Engineering of the Case Western Reserve University. It processes and analyzes vibration data from bearings to detect anomalies and predict failure events using advanced techniques such as Isolation Forest, One-Class SVM, Local Outlier Factor, and Autoencoders. One of the experiment types for the artificial OR condition is removed. Experiments on bearings. " Learn more GitHub Gist: instantly share code, notes, and snippets. Sub-dataset 1 and 2 contain two training runs and five test runs, while sub-dataset 3 contains only one test run. We use publicly available XJTU-SY bearing run-to-failure dataset Biao Wang, Yaguo Lei, Naipeng Li, Ningbo Li, “A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings”, IEEE Transactions on Reliability, vol. The IMS dataset contains vibration signals from bearing failure experiments and is used for condition monitoring and fault diagnosis research. Seeded Fault Test Data Vibration of rolling bearings under widely varying speed conditions: This dataset contains observations of vibration of test stand under widely varying speed conditions. The main problem of the traditional fault diagnosis method is manually extracting the features which require the experimenter’s experience and expert knowledge. As for fault detection, it is obtained that RMS value, Kurtosis and Jul 5, 2023 · 前言 江南大学轴承数据为本人网上搜集得到，主要来源于以下两个渠道： 1、52phm区提供，网址为: 52phm. 1, pp. 6, which includes a test motor, measuring shaft, bearing module, flywheel, and load motor. Therefore, the objective of this work is to propose a diverse dataset for ball bearing fault This dataset encompasses various types of bearing faults, such as inner ring, outer ring, and rolling element faults. , and will include more in the future. This repository contains code for analyzing and processing the Case Western Reserve University (CWRU) Bearing Dataset. Therefore, the shallow diagnostic model’s classification rate does not produce good results. Apr 2, 2022 · Please provide a proper citation of the above paper as: T. Download scientific diagram | Detailed description of SEU datasets from publication: Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study | With The dataset consists of 25 damaged bearing states and 6 undamaged bearing states (Healthy condition). This package is specifically designed to extract multivariate sensor readings from the MATLAB files containing different Bearing faults. The health conditions of the bearing include (i) healthy, (ii) faulty with an inner race defect, (iii) faulty with an Experiments on bearings. Contribute to Zhangyu657/KARMA-Bearing-RUL development by creating an account on GitHub. Welcome to the Case Western Reserve University Bearing Data Center Website This website provides access to ball bearing test data for normal and faulty bearings. As detailed in Table I, the sampling frequency of the GPNU dataset was 10 kHz, and each fault category contained 400 samples. 69, no. It includes data from 14 different bearing classes under 4 different operating conditions, which serve as domains for domain generalization experiments. May 31, 2025 · Experiments on bearings. You can index each FEMTOPartition in two ways: You can use a numbered index, or a bearing name ('1_1', '1_2', '1_3', etc. We established the The bearing-python is package which include common bearing fault diagnosis dataset implement in numpy, CWRU [1], Paderborn [2] and Jnu [3], etc. Awesome Bearing Datasets for Diagnostics and Prognostics A curated collection of public datasets for bearing fault diagnosis and prognostics, intended for researchers and engineers in condition monitoring and predictive maintenance. -H. from publication: Rolling Bearing Fault Diagnosis Based on Convolutional Neural Network and Support Vector Machine | Rolling KARMA model for PHM2012 RUL prediction. Mouss, T. mat files. In this datasets, three unbalanced datasets under different loads are constructed to testify the recognition effect of the proposed method. , have been successfully applied to the detection and categorization of bearing faults for decades Apr 15, 2022 · The Case Western Reserve University (CWRU) dataset [3] is commonly used to benchmark new network architectures for bearing fault diagnosis. To address Feb 6, 2019 · The data contain vibration signals collected from bearings of different health conditions under time-varying rotational speed conditions. Data collected at 12,000 samples/second and at 48,000 samples/second for drive end bearing experiments. This page covers the dataset's Jun 18, 2025 · The GPNU dataset encompassed three types of individual fault modes, namely inner race fault, outer race fault, and rolling element fault, and two types of normal operating condition signals. Contribute to KarlRaphel/bearing-dataset-collection development by creating an account on GitHub. Each sample consists of 2048 data points, and each Feb 24, 2023 · In this work, we introduce a practical dataset named HUST bearing, that provides a large set of vibration data on different ball bearings. We prioritize presenting previous researches in a Nov 11, 2021 · Brief description of the provided data **originaldata** contains the vibration data in . Each file contains - fan and drive end vibration data as well as motor rotational speed. Data Sets and Download The main characteristic of the data set are: Synchronously measured motor currents and vibration signals with high resolution and sampling rate of 26 damaged bearing states and 6 undamaged (healthy) states for reference. Three datasets capture failures in the inner/outer race and roller elements at a 20 kHz sampling rate. This website provides access to ball bearing test data for normal and faulty bearings. ). Dataset Overview HIT-SM bearing datasets are provided by the sensing and measurement laboratory at School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, PR. Using the system depicted in 'A hierarchical attention detector for bearing surface defect detection', a bearing surface defect image dataset comprising 859 defective bearing images with a resolution of 1024 × 1024 was created. net) with support from Rexnord Corp. The complete data packet (IMS bearing data zip file) consists of three datasets, namely Test 1, Test 2, and Test 3, which describe the test-to-failure experiments performed on the bearings. In addition, this dataset included six types of compound faults. Predict remaining-useful-life (RUL). The vibration signals were collected under a working condition of 20 Hz (1200 rpm) motor speed and 0 V (0 Nm) load. Specifically, the comparison is performed in terms of fault detection, diagnosis and prognosis techniques with regards to the first rolling element bearing dataset released by NASA IMS Center in 2014. We established the envelope May 6, 2025 · The reader handles dataset download, preprocessing, feature extraction, and standardization to make the data ready for machine learning models. Bearing fault dataset collected by Jiangnan University. The bearings have been annotated using the American Association of State Highway and Transportation Officials (AASHTO) bridge inspection condition state guidelines and Bridge Inspector's Reference Manual (BIRM). There are 60 datasets in total. 2022. All fan end bearing data was collected at 12,000 samples/second. The Paderborn University dataset is a vibration and motor current signal dataset used for bearing fault classification. It contains vibration and motor current signal data from 32 bearings with artificially induced single point faults. utjicrhorwhxdrwpveagcopxbnkdgudlkstfxswvmyjcclhgaqsvezghihxzczvnxgtxofktpntejjrfs