Publisher's Synopsis
Diagnosis of industrial systems and processes is a crucial issue in industrial engineering. Over the last two decades, considerable investments have been made on diagnostic techniques and significant advances have been obtained in many industrial sectors, including discrete manufacturing as well as continuous production.;While the application of knowledge-based system technology to diagnostic tasks has been largely investigated in the last decade and a lot of significant experience has been accumulated, its suitability to large scale industrial applications is still to some degree an open issue. Knowledge-based diagnosis has often been oriented towards advanced research issues rather than near-term applications.;The aim of this book is to provide a broad overview on the application of knowledge-based diagnostic systems in industrial environments. The volume will prove an indispensable reference source for all those interested in knowledge-based systems which can explicitly represent knowledge on the task domain. The chapters cover a variety of general problem-solving methods, reviewing problems which involve non-deterministic reasoning about empirical, unstructured, uncertain, incomplete, or qualitative knowledge. The choice of topics emphasise that integration of knowledge-based diagnosis with existing systems and working practices is still a challenging issue.
