Fault Prediction of Brightness Sensor based on BRB in Rail Vehicle Compartment LED Lighting System

A novel fault diagnosis strategy for LED lamps via light output time-frequency characteristics analysis and machine learning

“…At present, there are mainly four fault diagnosis methods for LED lamps’ power drivers based on the different measurement objectives: (1) measuring and analyzing the electrical parameters of LED lamps, such as the voltage and current [ 11 ], (2) measuring and analyzing the optical parameters of LED lamps, such as the flicker index or luminous flux [ 12 ], (3) measuring and analyzing the temperature of LED chips [ 13 ], and (4) measuring and analyzing the information fusion results of the optical, temperature, and electrical parameters of LED lamps [ 14 ]. Yin et al [ 11 ] realized fault detection for LED lamps by measuring the output voltage of the LED lamp driver. Freddi et al [ 13 ] measured the current of LED strings to diagnose the fault of LED lamps.…”