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This paper presents an overview of a learning methodology for detecting and diagnosing faults in nonlinear dynamic systems. The main idea behind this approach is to monitor the plant for any off-nominal behavior due to faults utilizing on-line approximators. In the presence of a failure, the on-line approximator can be used as an estimate of the nonlinear fault function for fault diagnosis purposes...