A real-time expert data filtering system for industrial plant environments

Tzafestas, SG; Dalianis, PJ

dc.contributor.author	Tzafestas, SG	en
dc.contributor.author	Dalianis, PJ	en
dc.date.accessioned	2014-03-01T01:11:37Z
dc.date.available	2014-03-01T01:11:37Z
dc.date.issued	1996	en
dc.identifier.issn	0378-4754	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11743
dc.subject	Data Filtering	en
dc.subject	Digital Filter	en
dc.subject	Measurement Noise	en
dc.subject	Real Time Data	en
dc.subject	Recursive Least Square	en
dc.subject	Software Tool	en
dc.subject	System Development	en
dc.subject	User Requirements	en
dc.subject	Neural Network	en
dc.subject	Real Time	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	Adaptive systems	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer software	en
dc.subject.other	Data acquisition	en
dc.subject.other	Least squares approximations	en
dc.subject.other	Neural networks	en
dc.subject.other	Pattern recognition	en
dc.subject.other	Process control	en
dc.subject.other	Real time systems	en
dc.subject.other	Recursive functions	en
dc.subject.other	Data filters	en
dc.subject.other	Expert data rejection (EDR) systems	en
dc.subject.other	Faulty patterns	en
dc.subject.other	Expert systems	en
dc.title	A real-time expert data filtering system for industrial plant environments	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0378-4754(95)00094-1	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0378-4754(95)00094-1	en
heal.language	English	en
heal.publicationDate	1996	en
heal.abstract	This paper presents an Expert Data Rejection (EDR) system, developed to accompany a real-time data acquisition tool for industrial plants. The EDR system is an integrated software tool responsible for the first stage process of multiple raw measurements coming from the plant. It provides different algorithms, which operate in real time, recognizing faulty patterns according to the user requirements. For each specific measurement the user may define a different way of treatment. The system checks the signal values and filters the incoming data. Various adaptive techniques have been adopted, such as digital filtering and variations of the recursive least-squares algorithm, as well as the neural network based algorithms. The system was applied and tested in a subprocess of a refinery plant in Athens. The EDR system removes the measurement noise and provides reliable data for further processing. It also gives information about the existence of faulty instruments monitoring the operation of the industrial process.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Mathematics and Computers in Simulation	en
dc.identifier.doi	10.1016/0378-4754(95)00094-1	en
dc.identifier.isi	ISI:A1996VG02000008	en
dc.identifier.volume	41	en
dc.identifier.issue	5-6	en
dc.identifier.spage	473	en
dc.identifier.epage	484	en