A Signal-Based Fault Detection and Classification Strategy with Application to an Internal Combustion Engine

Fault detection strategies are important for ensuring the safe and reliable operation of mechanical and electrical systems. Recently, a new signal-based fault detection and classification strategy has been proposed, which makes use of artificial neural networks (NNs) and the smooth variable structure filter (SVSF). The strategy, referred to as the NN-SVSF, has shown promising results with applications to benchmark classification problems. New …