Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Net-works(DBN) and stacks of auto-encoder variants, with impressive results obtained in several ...

This paper presents a deep contractive auto-encoding network (DCAEN) for machinery fault diagnosis, which is constructed by contractive auto-encoder (CAE), i.e., an unsupervised learning way for ...