Process fault diagnosis based on process model knowledge—part II: Case study experiments

Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

Volumn 113, Issue 4, 1991, Pages 627-633

  Isermann, R ^a   Freyermuth, B ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERT SYSTEMS - APPLICATIONS; MATHEMATICAL TECHNIQUES - TREES; STATISTICAL METHODS - APPLICATIONS;

COMPUTER ASSISTED FAULT DIAGNOSIS SYSTEM (CAFD); ON-LINE ENGINEERING EXPERT SYSTEM; THEORETICAL PROCESS MODELS;

FAILURE ANALYSIS;

EID: 0026408471     PISSN: 00220434     EISSN: 15289028     Source Type: Journal    
DOI: 10.1115/1.2896467     Document Type: Article

References (7)

1. Noid, S., “Fault Detection in a.c. Drives by Process Parameter Estimation,” 10th IFAC World Congress on Automatic Control, Munich, 1987.
2. Nold, S., and Isermann, R., “Model Based Fault Detection for Centrifugal Pumps and a.c. Drives,” 11th IMEKO World Congress, Houston, USA, 1988.
3. Kaminski, P. G., Bryson, A. E., and Schmidt, F., “Discrete Square Root Filtering—A Survey of Current Techniques,” IEEE Transactions on Automatic Control, Vol. AC-16, 1971, pp. 727-736.
4. Specht, R., and Isermann, R., “On-Line Identification of Inertia, Friction and Gravitational Forces Applied to an Industrial Robot,” IFAC Symposium on Robot Control, Karlsruhe, FRG, Proceedings Pergamon Books, Oxford, 1988.
5. Freyermuth, B., “Modellgestützte Fehlerdiagnose von Industrierobotern mittels Parameterschätzung,”Robotersysteme, Vol. 6, 1990, pp. 202-210.
6. Freyermuth, B., “An Approach to Model Based Fault Diagnosis of Industrial Robots.” IEEE Intern Conference on Robotics and Automation, Apr. 7-12, 1991, Sacramento, USA.
7. Böhm, J., and Freyermuth, B., “PC-Robotersteuerung für die Entwicklung und Erprobung Moderner Regelungs- und Überwachungskonzepte,”MSR-Magazin Nr. 4,1990, pp. 51-54.