Health Monitoring of Reciprocating Compressor in Refrigerator Based on the Artificial Neural Network

Sang Kwon Lee; Kyung-Rae Rho

doi:10.4028/www.scientific.net/KEM.245-246.391

Paper Titles

Risk-Based Residual Life Assessment - A Case Study
p.359

A Web-Based Remote Intelligent Expert System for Ferrography Diagnosis
p.367

Simplified Method to Predict Elastic-Plastic Behaviour of Aeroengine Casings
p.373

Mechatronics in Design of Monitoring and Diagnostic Systems
p.381

Health Monitoring of Reciprocating Compressor in Refrigerator Based on the Artificial Neural Network
p.391

A Study of Fault Mechanisms in a Rotor-Seal System
p.399

Certification of Condition Monitoring Personnel in the UK
p.407

Modelling and Accident Reconstruction of Head Impact Injuries
p.417

An Audio-Frequency Wave Technique for Damage Detection in Beams
p.433

HomeKey Engineering MaterialsKey Engineering Materials Vols. 245-246Health Monitoring of Reciprocating Compressor in...

Health Monitoring of Reciprocating Compressor in Refrigerator Based on the Artificial Neural Network

Abstract:

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 245-246)

Pages:

391-398

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.245-246.391

Citation:

Cite this paper

Online since:

July 2003

Authors:

Sang Kwon Lee, Kyung-Rae Rho

Keywords:

Neural Network (NN), Reciprocating Compressor, Weighted Wigner-Ville Distribution

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] M. Key: Modern Spectra Estimation Theory & Application (Prentice Hall 1988).

Google Scholar

[2] D. Dyer and R. M. Stewart: Trans. of ASME. Journal of Mechanical Design, Vol. 100 (1978), pp.229-235.

Google Scholar

[3] R. Randall: B&K Application Note, Technical Report (1981), pp.13-150.

Google Scholar

[4] S. K. Lee and P. R. White: Transaction of ASME, Journal of Vibration and Acoustics, ASME, Vol. 121 (1999), pp.488-512.

Google Scholar

[5] Q. Zhuge: Mechanical Systems and Signal Processing Vol. 4 (1990), 355-365.

Google Scholar

[6] W. J. Staszewski, and G.R., Tomlinson: Mechanical System and Signal Processing, Vol. 8 (1994), pp.289-307.

Google Scholar

[7] P. D. McFadden: Mechanical Systems and Signal Processing, Vol. 1(1987), pp.177-183.

Google Scholar

[8] S. K. Lee and P. R. White: Mechanical Systems Signal Processing, Vol. 11 (1997), 637-650.

Google Scholar

[9] G. D. Meegan, H.R. Nelson, M. L. Barlrt and G. R. Wilson: J. Acoust. Soc. Am. Vol. 106(1999), p. L1-L6.

Google Scholar

[10] P. Van Wyk and A. J. Hoffnan: Journal of Sound and Vibration Vol. 253 (2002), pp.529-544.

Google Scholar

[11] H. Matrn: Neural Network Design. (PWS Publishing Company, 1996) Fig. 10 Mass prodution line of the recirpocating compressor without health monitoring system. Fig. 11 Mass prodution line of the recirpocating compressor with health monitoring system. Automatic measurement of vibration.

Google Scholar