Circuit breaker real-time residual life prediction method based on degradation model and data driving
A degradation model, data-driven technology, applied in the direction of prediction, data processing applications, instruments, etc., can solve the problems that PdM decision-making cannot provide remaining life and failure, prediction support, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0080] The present invention will be further described in detail below through specific examples. The following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.
[0081] A real-time remaining life prediction method for circuit breakers based on degradation model and data-driven, characterized in that: the steps of the method are:
[0082] (1) Collect circuit breaker status monitoring data that can effectively reflect the degree of equipment degradation
[0083] Accident analysis shows that nearly 80% of circuit breaker failures are caused by the abnormality of its secondary circuit (29%) and operating mechanism (43%). Therefore, the secondary circuit and the operating mechanism are the most important monitoring parts in the condition assessment. The current waveform of the trip coil during the tripping operation of the circuit breaker is as follows figure 1 As shown, the present invention extracts the time charac...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


