Fault evolution prediction model and intelligent diagnosis algorithm driven by power equipment operation data
Aiming at the challenge of fault evolution prediction and intelligent diagnosis in power equipment operation and maintenance, this paper proposes a joint model driven by multi-source operation data. By fusing heterogeneous data such as electric quantity, oil chromatography and temperature, an improved health index (HI)...