A distributed fault detection method and system for a sensor network switching system
By constructing linear matrix inequalities and calculating the theoretical maximum boundary ellipsoid in the sensor network switching system, the problem of high false alarm rate in the prior art is solved, achieving zero false alarms and rapid fault detection, thereby improving the system's security and operational efficiency.
CN122339993APending Publication Date: 2026-07-03NORTHEAST GASOLINEEUM UNIV
View PDF 0 Cites 0 Cited by
Patent Information
- Application Number
- CN202610456060.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-08
- Publication Date
- 2026-07-03
Smart Images

Figure CN122339993A_ABST
Abstract
This invention provides a distributed fault detection method and system for a sensor network switching system, belonging to the field of industrial automation control and fault diagnosis technology. The method includes: acquiring the physical structure parameters, historical test data, and sensor network communication topology of the system under various operating modes; establishing a discrete-time state-space equation set; constructing and solving linear matrix inequalities with performance indicators as the optimization objective and bounded reachability sets as constraints to obtain the optimal filter gain matrix corresponding to each operating mode; calculating the theoretical maximum boundary ellipsoid for each operating mode to obtain the safety threshold for each mode; and performing fault detection based on the filter gain matrix and the safety threshold. This invention establishes a strict instantaneous safety boundary for residual signals under bounded disturbances, achieving theoretically zero false alarms; it replaces the sliding window RMS with an instantaneous residual comparison mechanism, eliminating trailing false alarms after fault clearing, and significantly improving the real-time performance and reliability of fault detection.
Need to check novelty before this filing date? Find Prior Art