Fault Diagnosis Based on Asynchronous Measurement Data Fusion of Multi-Sensor

Fault diagnosis system of distributed estimation and centralized fusion algorithm is put forward based on strong tracking filter, which aims at the problem of asynchronous sampling speed data fusion of control system´s fault diagnosis under the condition that the same object´s measurement sampling speed is different and the signal delay is existed in the data delivery of multi-sensor. The data stream and data transfer rate of system´s measurement is enlarged and the system´s fault diagnosis accuracy is improved through making use of multi-sensor data, at last the method´s effectivity is testified by the computer simulation.