Fault detection for quality control of household appliances by non-invasive laser Doppler technique and likelihood classifier

Measurement: Journal of the International Measurement Confederation

Volumn 25, Issue 4, 1999, Pages 237-247

  Paone, Nicola ^a   Scalise, Lorenzo ^a   Stavrakakis, George ^b   Pouliezos, Anastasios ^b  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

DOMESTIC APPLIANCES; ERROR DETECTION; FEATURE EXTRACTION; LASER APPLICATIONS; MACHINE VIBRATIONS; NEURAL NETWORKS; QUALITY CONTROL; VIBRATION MEASUREMENT; WASHING MACHINES;

DISPLACEMENT; FAULT RECOGNITION; LIKELIHOOD CLASSIFIER; NONINVASIVE LASER DOPPLER TECHNIQUE; ONLINE DIAGNOSTIC SYSTEM; VIBRATION VELOCITY;

ONLINE SYSTEMS;

EID: 0032669387     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0263-2241(99)00007-X     Document Type: Article

References (10)

1. Meier W., Weber R., Zimmermann H.-J. Fuzzy data analysis - Methods and industrial applications. Fuzzy Sets and Systems. 61:1994;19-26.
2. Lukovich V.V., Goltsev A.D., Rachkovskij D.A. Neural network classifiers for micromechanical equipment diagnostics and micromechanical product quality inspection. Proc. of EUFIT '97, Aachen, Germany. 1997;534-536.
3. Fogliardi R. Fuzzy identification of noisy electric motors on the production line. Proc. of EUFIT '97, September 8-11, Aachen, Germany. 1997;1755-1759.
4. Li C.J., Wu S.M. On line detection of localised defects in bearings by pattern recognition analysis. ASME J. of Engineering in Industry. 111:1989;331.
5. R.H. Lyon (Ed.), Machinery Noise and Diagnostics, Butterworths, 1987.
6. Revel G.M., Rossi G.L., Campolucci A., Piazza F. Development of measurement and processing techniques based on laser vibrometers and neural networks for quality control of loudspeakers. Proc. of XIV IMAC Conf., Dearborn, MI. 1996;989-995.
7. Revel G.M., Rossi G.L., Tomasini E.P. Defect classification in loudspeakers production using laser vibrometers and neural networks. Proc. of 3rd MOVIC (Motion and Vibration Control). 1996.
8. Pouliezos A.D., Stavrakakis G.S. Real Time Fault Monitoring of Industrial Processes. 1994;Kluwer, Dordrecht.
9. Barschdorf D. Comparison of neural and classical decision algorithms. Proc., IFAC Fault Detection, Supervision and Safety for Technical Processes, Baden-Baden, Germany. 1991;409-415.
10. Drain L.E. The Laser Doppler Technique. 1980;John Wiley.