An intelligent performance degradation assessment method for bearings

2016 ◽  
Vol 23 (18) ◽  
pp. 3023-3040 ◽  
Author(s):  
Huiming Jiang ◽  
Jin Chen ◽  
Guangming Dong ◽  
Ran Wang
Keyword(s):  
Evaluation System ◽  
Health Management ◽  
Feature Space ◽  
Assessment Method ◽  
Performance Degradation ◽  
Accelerated Life Test ◽  
Time Data ◽  
Accelerated Life ◽  
Rolling Element ◽  
Close Relationship

Bearings are one of the most frequently used components in the rotatory machinery, so the performance degradation assessment of bearings plays an important role in the prognostics and health management of systems. Hidden Markov model (HMM) is a widely applied data-driven model used for bearing performance degradation assessment and has many successful applications. A normal HMM needs to be trained in advance, which has close relationship with the evaluation system. However, the trained HMM is quite influenced by many issues, such as the data integrity and the feature space. In this paper, an intelligent bearing performance degradation assessment method based on HMM and nuisance attribute projection (NAP) is proposed. The proposed method can combine the information from the experimental data and the real-time data effectively and assess the performance since the beginning of the monitoring. The effectiveness of the proposed method is verified through an accelerated life test of rolling element bearings.

scholarly journals Bearing Performance Degradation Assessment Based on SC-RMI and Student’s t-HMM

Materials ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6077
Author(s):  
Huiming Jiang ◽  
Jinhai Luo ◽  
Bohua Zhou ◽  
Chao Li ◽  
Zhongwei Lv ◽  
...  
Keyword(s):  
Health Management ◽  
Feature Selection Method ◽  
Performance Degradation ◽  
Accelerated Life Test ◽  
Economic Losses ◽  
The Public ◽  
Accelerated Life ◽  
Long Time ◽  
Student’S T ◽  
Optimal Feature

Bearing performance degradation assessment (PDA), as an important part of prognostics and health management (PHM), is significant to prevent major accidents and economic losses in industry. For the data-driven PDA, the extraction and selection of features is quite important. To better integrate the degradation information, the bearing performance degradation assessment based on SC-RMI and Student’s t-HMM is proposed in this article. Firstly, spectral clustering was used as a preprocessing step to cluster features with similar degradation curves. Then, rank mutual information, which is more suitable for trendability estimation of long time series, was utilized to select the optimal feature from each cluster. The feature selection method based on these two steps is called SC-RMI for short. With the selected features, Student’s t-HMM, which is more robust to outliers, was utilized for performance degradation modeling and assessment. The verifications based on an accelerated life test and the public XJTU-SY dataset showed the superiority of the proposed method.

Spectral entropy: A complementary index for rolling element bearing performance degradation assessment

2008 ◽  
Vol 223 (5) ◽  
pp. 1223-1231 ◽  
Author(s):  
Y N Pan ◽  
J Chen ◽  
X L Li
Keyword(s):  
Normal Fault ◽  
Performance Degradation ◽  
Accelerated Life Test ◽  
Rolling Element Bearing ◽  
Spectral Entropy ◽  
Vibration Data ◽  
Accelerated Life ◽  
Rolling Element ◽  
Simulation And Experiment ◽  
Element Bearing

Performance degradation assessment has been proposed to realize equipment's near-zero downtime and maximum productivity. Exploring effective indices is crucial for it. In this study, rolling element bearing has been taken as a research object, spectral entropy is proposed to be as a complementary index for its performance degradation assessment, and its accelerated life test has been performed to collect vibration data over a whole lifetime (normal-fault-failure). Results of both simulation and experiment show that spectral entropy is an effective complementary index.

scholarly journals Phycocyanin Thermo-photostability: an Accelerated Life-test Analysis

2020 ◽  
Vol 64 (3) ◽  
Author(s):  
Froylan M. E. Escalante ◽  
Daniel A. Pérez-Rico ◽  
Jorge Luis Alarcón-Jiménez ◽  
Escarlett González-Morales ◽  
Luis Felipe Guerra-Álvarez ◽  
...  
Keyword(s):  
Degradation Kinetics ◽  
Storage Conditions ◽  
Accelerated Life Test ◽  
Effect Of Temperature ◽  
Order Kinetic ◽  
Life Test ◽  
Time Data ◽  
Test Analysis ◽  
Accelerated Life ◽  
Degradation Ratio

Abstract. Phycocyanin is a natural blue colorant with antioxidant activity which can be safely used in food, however its rapid degradation is still a concern for food manufacturing. Phycocyanin is easily degraded when exposed to mid-temperatures and/or light. Several studies have been stablished the degradation kinetics of aqueous solutions evaluating temperature or light as accelerating factors using a first order kinetic model and, both factors have been studied by separate or fixing one of them to evaluate the combined effect. The aim of this work was to develop an empirical model able to predict the effect of temperature and light combined in the degradation ratio of this pigment at selected storage conditions. We have tested five correlation models to fit temperature, light and time data to the degradation ratio of the phycocyanin; these were statistically tested to select the more appropriate. This is a novelty in the study of accelerated life-test analysis of phycocyanin, since most of the models are based on one accelerating variable at the time and the relationship between accelerating variables has not been explored before. We were able to develop a methodology to evaluate the effect of two accelerating life factors at once using CPC as model which is highly precise and easy to apply. Resumen. La ficocianina es un pigmento natural color azul con actividad antioxidante que puede utilizarse de manera segura en alimentos, sin embargo, su rápida degradación sigue siendo un problema para su uso en alimentos. La ficocianina se degrada fácilmente cuando se expone a temperaturas medias o a la luz. Algunos estudios han establecido la cinética de degradación de las soluciones evaluando la temperatura o la luz como factores de aceleración usando modelos cinéticos de primer orden. Además, ambos factores han sido estudiados por separado o fijando uno de ellos para evaluar el efecto combinado. El objetivo de este trabajo fue desarrollar un modelo empírico capaz de predecir el efecto de la temperatura y la iluminación en forma combinada sobre la velocidad de degradación de la ficocianina a las condiciones de almacenamiento seleccionadas. Se probaron cinco modelos de correlación para ajustar los datos de temperatura, luz y tiempo a la velocidad de degradación de la ficocianina; dichos modelos fueron probados estadísticamente para determinar el más adecuado. Esta es una novedad en el estudio de los análisis de pruebas de vida acelerada de la ficocianina, dado que la mayoría de los modelos se basan en una sola variable acelerante a la vez y, no se han explorado las relaciones entre las variables de aceleración. Fuimos capaces de desarrollar una metodología altamente precisa y sencilla para evaluar el efecto de dos factores simultáneos de aceleración de la vida de la ficocianina C como modelo.

Experimental investigation of friction disc temperature field under cooling fluid

2020 ◽  
pp. 095440622096452
Author(s):  
Jianpeng Wu ◽  
Biao Ma ◽  
Ilinca Stanciulescu ◽  
Heyan Li ◽  
Liyong Wang
Keyword(s):  
Temperature Field ◽  
Evaluation System ◽  
Field Evaluation ◽  
Accelerated Life Test ◽  
Temperature Fields ◽  
Radial Temperature ◽  
Evaluation Indexes ◽  
Accelerated Life ◽  
Wet Clutch ◽  
Friction Disc

The temperature field of the wet clutch is an important factor that influences the vehicle transmission performance. In order to predict and prolong the service life of the wet clutch, a test bench is built, and an accelerated life test is carried out based on the actual working conditions. Then, according to the variation of the friction coefficient and the maximum radial temperature difference, the sliding temperature field is analyzed in different periods. By introducing four evaluation indexes, a temperature field evaluation system is established and verified. With the help of this evaluation system, the temperature fields during running-in and unstable stages are compared, and the thermal failure mechanism of the friction disc is analyzed. In the stable stage, the influence of rotational speed, oil pressure and lubricant flow on the temperature field are investigated. The results of this study can guide the design and control of the friction components in the wet clutch.

The Statistics Analysis of Degradation Data Based on the Degradation Amount Distribution

2013 ◽  
Vol 791-793 ◽  
pp. 1260-1263
Author(s):  
Yi Zhou He ◽  
Jin Huang Wu ◽  
Yi Dong Wang ◽  
Wei Hua Liu
Keyword(s):  
High Reliability ◽  
Performance Degradation ◽  
Accelerated Life Test ◽  
Test Reliability ◽  
Analysis Method ◽  
Life Test ◽  
Failure Data ◽  
Degradation Data ◽  
Accelerated Life ◽  
Long Life

In order to solve the key technology and method in reliability study of the long-life products, the analysis method of degradation data based on the degradation amount distribution was proposed in this paper. On the basis of statistical model, by analyzing three models of degradation amount distribution, it can be got there is a large number of reliability information with high-reliable and long-life products in performance degradation data. In the case of not getting the failure data by life test and accelerated life test, reliability assessment and life prediction could be carried out for high reliability and long life products with performance degradation data.

Reliability Assessment Based on Performance Parameter for Micro-Gyro

2014 ◽  
Vol 1037 ◽  
pp. 197-200
Author(s):  
Li Xia Yu ◽  
Li Qin ◽  
Meng Mei Wang
Keyword(s):  
High Reliability ◽  
Reliability Assessment ◽  
Assessment Method ◽  
Accelerated Life Test ◽  
Time To Failure ◽  
Accelerated Life ◽  
Parameter Measuring ◽  
Failure Life ◽  
Effective Assessment ◽  
Short Time

For high-reliability and long-lifetime product, it is difficult to assess the reliability with traditional accelerated life test that record only time to failure. Aiming to solve the problem of the previously, a reliability test and assessment method forecasting the life of samples based on degradation parameter was proposed. According to the working characteristic, the key parameter measuring performance degradation was selected. Based on statistical analysis methods, parameter degradation was designed and parameter degradation model was build. Combined with practical application background, the failure threshold was set and reliability assessment resultwas obtained. The method is applied to assessing reliability of micro gyroscope. The application shows that the method can achieve effective assessment, which can be used as similar products that are difficult to obtain the failure life data in a short time.

scholarly journals XJTU-SY Rolling Element Bearing Accelerated Life Test Datasets: A Tutorial

2019 ◽  
Vol 55 (16) ◽  
pp. 1
Author(s):  
LEI Yaguo ◽  
HAN Tianyu ◽  
WANG Biao ◽  
LI Naipeng ◽  
YAN Tao ◽  
...  
Keyword(s):  
Accelerated Life Test ◽  
Rolling Element Bearing ◽  
Life Test ◽  
Accelerated Life ◽  
Rolling Element ◽  
Element Bearing

The Statistics Analysis of Degradation Data Based on the Degradation Amount Distribution

2013 ◽  
Vol 739 ◽  
pp. 781-784
Author(s):  
Jun Sheng Wang ◽  
Yi Zhou He ◽  
Jin Huang Wu ◽  
Jun Wei Lei
Keyword(s):  
High Reliability ◽  
Performance Degradation ◽  
Accelerated Life Test ◽  
Test Reliability ◽  
Analysis Method ◽  
Life Test ◽  
Failure Data ◽  
Degradation Data ◽  
Accelerated Life ◽  
Long Life

In order to solve the key technology and method in reliability study of the long-life products, the analysis method of degradation data based on the degradation amount distribution was proposed in this paper. On the basis of statistical model, by analyzing three models of degradation amount distribution, it can be got there is a large number of reliability information with high-reliable and long-life products in performance degradation data. In the case of not getting the failure data by life test and accelerated life test, reliability assessment and life prediction could be carried out for high reliability and long life products with performance degradation data.

Performance Degradation Assessment for Bearing Based on Ensemble Empirical Mode Decomposition and Gaussian Mixture Model

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Sheng Hong ◽  
Baoqing Wang ◽  
Guoqi Li ◽  
Qian Hong
Keyword(s):  
Empirical Mode Decomposition ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Principal Component ◽  
Feature Space ◽  
Gaussian Mixture ◽  
Ensemble Empirical Mode Decomposition ◽  
Assessment Method ◽  
Performance Degradation ◽  
Mode Decomposition

This paper proposes a novel performance degradation assessment method for bearing based on ensemble empirical mode decomposition (EEMD), and Gaussian mixture model (GMM). EEMD is applied to preprocess the nonstationary vibration signals and get the feature space. GMM is utilized to approximate the density distribution of the lower-dimensional feature space processed by principal component analysis (PCA). The confidence value (CV) is calculated based on the overlap between the distribution of the baseline feature space and that of the testing feature space to indicate the performance of the bearing. The experiment results demonstrate the effectiveness of the proposed method.

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