This paper presents a brief summary of fault-detection methods using parameter estimation techniques. An overview of the fault-detection system design methodology is first presented, followed by the principles of parameter-estimation fault-detection techniques. Applications from the field of industrial processes are given and finally a case study is described which applies the general techniques to the fault detection of D.C. motors using multiprocessor systems.