Expert systems for condition monitoring, fault diagnosis and control

Advanced software techniques such as artificial intelligence are now providing industry with a range of tools that allow successful condition monitoring and fault diagnostic systems to be built and deployed effectively in industry. This paper briefly looks at the types of faults that have been and are being addressed, the results of the early work in this area (and the reasons why some of this was not viewed as successful) and the changes that mean that tools are now available that will facilitate the widespread deployment of systems that address condition monitoring, fault diagnosis and control (M, D and C) problems