“…Following this step, the diagnosis of the related faults in a sy by mining the set of analytically redundant relations in the system is carried out [23 Zhang J. et al studied the joint diagnosis problem for eight sensor faults in the perma magnet drive system of electric vehicles, including inverter output three-phase volt motor output three-phase current, a motor position sensor, and a vehicle speed sensor Ebrahimi S. H. et al realized the joint diagnosis of the position sensor and the motor The diagnosis of 10 sensor signals was investigated, including inverter input DC vol inverter output three-phase voltage, motor three-phase current, motor speed, motor p tion, and load torque, based on the inverter output three-phase voltage, the motor ou three-phase current, and the motor position sensor signals in a permanent magnet d system [25]. The above multi-sensor joint diagnosis methods based on structural ana [23][24][25] have added many redundant sensors (e.g., hardware redundancy among th phase voltage sensors, redundancy between motor speed and position sensors, etc Fruitful research results have been achieved for the sensor fault diagnosis of PMTDSs [6]. According to the type of diagnostic objects, these methods can be divided into two categories: single-sensor fault diagnosis and joint fault diagnosis of multiple types of sensors.…”