HMM based modeling and health condition assessment for degradation process

2013 ◽  
Author(s):  
Lisha Xia ◽  
Huajing Fang ◽  
Hui Zhang
Keyword(s):  
Degradation Process ◽  
Condition Assessment ◽  
Health Condition

Modeling Multi-State Equipment Degradation with Non-Homogeneous Continuous-Time Hidden Semi-Markov Process

2013 ◽  
pp. 151-181 ◽  
Author(s):  
Ramin Moghaddass ◽  
Ming J Zuo ◽  
Xiaomin Zhao
Keyword(s):  
Condition Monitoring ◽  
Continuous Time ◽  
Degradation Process ◽  
Health Condition ◽  
Health Conditions ◽  
Mechanical Equipment ◽  
Technical Problems ◽  
Semi Markov Process ◽  
Overall Performance ◽  
Actual Health

The multi-state reliability analysis has received great attention recently in the domain of reliability and maintenance, specifically for mechanical equipment operating under stress, load, and fatigue conditions. The overall performance of this type of mechanical equipment deteriorates over time, which may result in multi-state health conditions. This deterioration can be represented by a continuous-time degradation process with multiple discrete states. In reality, due to technical problems, directly observing the actual health condition of the equipment may not be possible. In such cases, condition monitoring information may be useful to estimate the actual health condition of the equipment. In this chapter, the authors describe the application of a general stochastic process to multi-state equipment modeling. Also, an unsupervised learning method is presented to estimate the parameters of this stochastic model from condition monitoring data.

Health Condition Assessment of Servomechanism Based on Grey Target Theory

2014 ◽  
Vol 643 ◽  
pp. 363-367
Author(s):  
Yu Hang Zheng ◽  
Zi Cheng Ning
Keyword(s):  
Principal Component Analysis ◽  
Standard Model ◽  
Correlation Analysis ◽  
Measurement Data ◽  
Principal Component ◽  
Condition Assessment ◽  
Health Condition ◽  
Coefficient Of Correlation ◽  
Target Theory ◽  
Index Weight

According to exist problem of servomechanism health condition assessment because of complicated measurement data, a method that based on grey target theory is proposed. By combining the principal component analysis (PCA) and correlation analysis to filter index and determine index weight, then target correlation was obtained by weighting the coefficient of correlation between measurement sequence and standard model that determined by required figure and measurement data, at last, health condition of servomechanism was assessed by matching health condition degree. Experiment shows that this method with clear procedure can exactly evaluate the servomechanism health condition.

Analysis Remnant Life of Power Transformer Based on Health Index

2013 ◽  
Vol 325-326 ◽  
pp. 525-528
Author(s):  
You Wei Huang ◽  
Bin Song ◽  
Rong Xiang Yuan ◽  
Hui Jin Liu
Keyword(s):  
Power Transformer ◽  
Condition Assessment ◽  
Health Condition ◽  
Life Assessment ◽  
Health Index ◽  
Practical Situation ◽  
Factors Affecting ◽  
Current Information

According to the transformer testing information, the factors affecting of transformer remnant life assessment were analyzed. The formula which reflects the transformer health condition and remnant life is deduced and established according to the current information. The model thus is used in the health condition assessment and calculation of the remnant life for transformers. The results show that the process is consistent with the practical situation.

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