Online diagnosis method for abrasion of contact of high-voltage switch cabinet
By extracting multi-dimensional time-frequency domain features from time-aligned vibration and current signals, and combining this with analysis of historical operation counts and environmental temperature and humidity, the reliability and accuracy issues of high-voltage switchgear contact wear diagnosis are resolved, enabling efficient wear condition assessment and maintenance recommendations.
Patent Information
- Application Number
- CN202511687125.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-18
- Publication Date
- 2026-04-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing methods for diagnosing contact wear in high-voltage switchgear rely on single signal analysis, which cannot fully capture the contact movement state and wear characteristics. They also lack a systematic wear state matching mechanism, resulting in insufficient reliability and repeatability of diagnostic results.
Multi-dimensional time-frequency domain feature extraction is performed using vibration and current signals based on time alignment. Combined with historical operation counts and environmental temperature and humidity, multi-factor coupling analysis is conducted to generate target wear diagnosis results. Efficient conversion is achieved through communication protocol encapsulation and instruction mapping.
It significantly improves the accuracy and completeness of contact motion feature extraction, enhances the comprehensiveness and precision of wear diagnosis, and improves the timeliness and accuracy of high-voltage switchgear maintenance decisions.