Fault tolerance in supervisory control systems: a knowledge-based approach

Askounis, DTh; Assimakopoulos, V; Psarras, J

dc.contributor.author	Askounis, DTh	en
dc.contributor.author	Assimakopoulos, V	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:09:53Z
dc.date.available	2014-03-01T01:09:53Z
dc.date.issued	1994	en
dc.identifier.issn	0956-5515	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11232
dc.subject	fault tolerance	en
dc.subject	Knowledge-based systems	en
dc.subject	production control	en
dc.subject	reliability	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Manufacturing	en
dc.subject.other	Computer aided manufacturing	en
dc.subject.other	Computer architecture	en
dc.subject.other	Computer software	en
dc.subject.other	Computer system recovery	en
dc.subject.other	Control systems	en
dc.subject.other	Database systems	en
dc.subject.other	Fault tolerant computer systems	en
dc.subject.other	Production control	en
dc.subject.other	Reliability	en
dc.subject.other	Response time (computer systems)	en
dc.subject.other	Intelligent production systems fault tolerance	en
dc.subject.other	Supervisory control systems	en
dc.subject.other	Knowledge based systems	en
dc.title	Fault tolerance in supervisory control systems: a knowledge-based approach	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF00127650	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF00127650	en
heal.language	English	en
heal.publicationDate	1994	en
heal.abstract	Fault tolerance in computerized systems involved in production has become an ever more important requirement. Existing fault tolerance approaches, wherever used, deal mainly with hardware faults. Nevertheless, the vast majority of contemporary system failures are software related. This paper introduces a knowledge-based approach to handling software related faults occurring in supervisory control systems. These systems are event driven and use data, stored in complex databases, to react to events coming from different kinds of devices by identifying, scheduling, initiating and monitoring operations. Failure of part of the supervisory control system's software to behave rationally when unexpected events occur is called an application fault. The approach introduced in this paper is based on a supervisory control system reference model which reveals the set of all possible application faults together with the major functions of the recovery processes associated with each fault, and leads to a high-level knowledge-based system architecture capable of handling every fault-related condition. This system is called PROFIT (Intelligent PROduction systems Fault Tolerance) and consists of three main components: the fault diagnosis module, the instant fault correction module and the learning module, co-ordinated by a PROFIT meta-level module. The prototype version of PROFIT is analysed and the development as well as the run-time environment that prove the applicability and effectiveness of the system are presented. © 1994 Chapman & Hall.	en
heal.publisher	Kluwer Academic Publishers	en
heal.journalName	Journal of Intelligent Manufacturing	en
dc.identifier.doi	10.1007/BF00127650	en
dc.identifier.isi	ISI:A1994PM11800003	en
dc.identifier.volume	5	en
dc.identifier.issue	5	en
dc.identifier.spage	323	en
dc.identifier.epage	331	en