Data-Driven Fault Prediction Model and Methods

In recent years, intelligent algorithms have received attention. Facing the uncertainty and dynamics of equipment failure and maintenance needs in the MRO operating network environment, combined with models based on Markov stochastic process models and neural network fusion models, wavelet decomposition, etc., this chapter mainly discusses the fault prediction model based on quantum multi-agent neural networks, fault prediction models based on machine learning, and fault prediction models based on deep learning, and other data-driven theories and methods of equipment fault prediction.