Monitoring and Failure Diagnosis of a Steel Strip Process

Document identifier: oai:dalea.du.se:2661
Keyword: Grey box modelling, Failure detection, Supervision, Steel Industry
Publication year: 1998
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Abstract:

This paper deals with condition monitoring and failure diagnosis of a steel strip rinsing process. Modelling and identification of the process is based on a priori knowledge about the process and data from the process. Some parts of the process wear out slowly. It is not possible to measure the wear with any transducers. In the model, the worn parts are modelled explicitly and estimated on-line by an Extended Kalman Filter. The parameter estimation is used for supervision and as an advisory system for the process operators to decide which worn parts should be changed at the next planned stop. In addition to the normal wear, other types of abrupt failures may suddenly occur. It is not possible to detect these failures directly and the failures will give a biased parameter estimate and mislead the process operators into thinking, that a part subject to wear should be changed although it is performing well. Therefore, the condition monitoring system is complemented with a fault detection and diagnosis system, which distinguishes normal wear from sudden abrupt failures.

Authors

Björn Sohlberg

Högskolan Dalarna; Elektroteknik
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    header: 
        identifier: oai:dalea.du.se:2661
        datestamp: 2021-04-15T12:53:01Z
        setSpec: SwePub-du
    metadata: 
        mods: 
            @attributes: 
                version: 3.7
            recordInfo: 
                recordContentSource: du
                recordCreationDate: 2007-04-04
            identifier: http://urn.kb.se/resolve?urn=urn:nbn:se:du-2661
            titleInfo: 
                @attributes: 
                    lang: eng
                title: Monitoring and Failure Diagnosis of a Steel Strip Process
            abstract: 
This paper deals with condition monitoring and failure diagnosis of a steel strip rinsing process. Modelling and identification of the process is based on a priori knowledge about the process and data from the process.  Some parts of the process wear out slowly. It is not possible to measure the wear with any transducers. In the model the worn parts are modelled explicitly and estimated on-line by an Extended Kalman Filter. The parameter estimation is used for supervision and as an advisory system for the process operators to decide which worn parts should be changed at the next planned stop. In addition to the normal wear other types of abrupt failures may suddenly occur. It is not possible to detect these failures directly and the failures will give a biased parameter estimate and mislead the process operators into thinking that a part subject to wear should be changed although it is performing well. Therefore the condition monitoring system is complemented with a fault detection and diagnosis system which distinguishes normal wear from sudden abrupt failures.

            subject: 
                    @attributes: 
                        lang: eng
                    topic: Grey box modelling
                    @attributes: 
                        lang: eng
                    topic: Failure detection
                    @attributes: 
                        lang: eng
                    topic: Supervision
                    @attributes: 
                        lang: eng
                    topic: Steel Industry
            language: 
                languageTerm: eng
            genre: 
                publication/journal-article
                ref
            note: 
                Published
                1
            name: 
                @attributes: 
                    type: personal
                    authority: du
                namePart: 
                    Sohlberg
                    Björn
                role: 
                    roleTerm: aut
                affiliation: 
                    Högskolan Dalarna
                    Elektroteknik
                nameIdentifier: bso
            originInfo: 
                dateIssued: 1998
                publisher: IEEE
            relatedItem: 
                @attributes: 
                    type: host
                titleInfo: 
                    title: IEEE Transactions on Control Systems Technology
                identifier: 
                    1063-6536
                    1558-0865
                part: 
                    detail: 
                            @attributes: 
                                type: volume
                            number: 6
                            @attributes: 
                                type: issue
                            number: 2
                    extent: 
                        start: 294
                        end: 303
            physicalDescription: 
                form: print
            typeOfResource: text