Optimal sensor placement strategy and sensor design for high quality system monitoring

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5391, Issue , 2004, Pages 431-440

  Gao, Robert X ^a   Wang, Changting ^b   Sheng, Shuangwen ^a  

^a University of Massachusetts   (United States)

^b GENERAL ELECTRIC COMPANY   (United States)

Author keywords

Embedded sensor design; Finite element modeling; Sensor placement strategy; Shock wave based sensing

Indexed keywords

EMBEDDED SENSOR DESIGN; FINITE ELEMENT MODELING; SENSOR PLACEMENT STRATEGY; SHOCK WAVE-BASED SENSING;

COMPUTER SIMULATION; DATA REDUCTION; DEFECTS; EMBEDDED SYSTEMS; FINITE ELEMENT METHOD; MACHINE COMPONENTS; SHOCK WAVES; STRUCTURAL ANALYSIS; VIBRATION MEASUREMENT;

SENSORS;

EID: 10044290928     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.539976     Document Type: Conference Paper

References (13)

1. SKF Company, SKF bearing maintenance handbook, Denmark, 1996.
2. J. Berry, "How to track rolling element bearing health with vibration signature analysis," Sound and Vibration, 25(11), pp. 24-35, 1991.
3. D. Tepfer and L. Baldor, "Sikorsky says cause of crash was subcontractor's bearings," Connecticut Post, 5(179), pp. 1, 1996.
4. K. Mori, N. Kasashima, T. Yoshioka and Y. Ueno, "Prediction of spalling on a ball bearing by applying the discrete wavelet transform to vibration signals," Wear, 195(1-2), pp.162-168, 1996.
5. R. X., Gao and P. Phalakshan, "Design consideration for a sensor-integrated roller bearing," ASME International Mechanical Engineering Congress and Exposition, Symposium on Rail Transportation, RTD-10, pp. 81-86, 1995.
6. th Annual Symposium on Smart Structures and Materials, Paper No. 3041-51, pp. 602-610, 1997.
7. C. Wang and R. Gao, "Wavelet transform with spectral post-processing for enhanced feature extraction", IEEE Transactions on Instrumentation and Measurement, Vol. 52, No. 4, pp. 1296-1301, August, 2003.
8. N. G. N., Ikolaou and I. A. A., Ntoniadis, "Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted Morlet wavelets," Mechanical Systems and Signal Processing, 16(4), pp. pp. 677-694, 2002.
9. J. S., Huang, M., Negnevitsky and D. T., Nguyen, "A neural-fuzzy classifier for recognition of power quality disturbances," IEEE Transactions on Power Delivery, 17(2), pp. 609-616, 2002.
10. S. Sheng and R. Gao, "A wavelet-based fuzzy data fusion scheme for bearing defect severity classification", ASME International Mechanical Engineering Congress and Exposition, Symposium on Intelligent Sensors and Sensor Networks, paper# IMECE2003-42584, Washington, D.C. November 16-21, 2003.
11. H. Kolsky, Stress Wave in Solids, Dover Publications, Inc., New York, 1963.
12. J. Rinehart, Stress Transients in Solids, University of Colorado, 1975.
13. nd edition, Mullard Company, London, England, 1974.