To fully use changing information from characteristic parameters in operation for analyzing individual equipment service reliability
the method of proactive monitoring operating equipment is utilized
a novel reliability model is proposed by integrating prior distribution of failure with vibration signal feature extraction based on equipment condition
and the feature evaluation is introduced to analyze the dynamic degradation signals. The degradation index with accurate definition and apparent trend variation is extracted
and introduced to proportional hazards model. An effective operational reliability assessment is realized by vibration signal considering damaged severity. A practical example of rolling bearing test device is given to provide operational data
maximum likelihood is chosen to estimate the reliability parameters in proportional hazards model
and the reliability size and changing trend are analyzed in detail under different operational conditions and damaged severity.
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