Fault Prediction in Air-Conditioning Refrigeration System by Wavelet Transform

Jian Jun Li; Zhi Yi Wang; Dong Zheng

doi:10.4028/www.scientific.net/AMR.614-615.428

Paper Titles

Numerical Simulation on the Effects of Angle of Nozzle on Combustion and Emission for Diesel Engine
p.404

Prediction Research on the Failure of Steam Turbine Based on Fruit Fly Optimization Algorithm Support Vector Regression
p.409

Research on Signal Simulator at Crankshaft of Motorcycle Gasoline Engine
p.414

Preliminary Research for Optimization of Gas-Steam Combined Cycle Cold-End
p.422

Fault Prediction in Air-Conditioning Refrigeration System by Wavelet Transform
p.428

Large Power Hydraulic Spring Driver with Integrated Valve and Cylinder Used in High Voltage Switch
p.432

Control Strategy and Realization of Dual Fuel Engine with Intake Premixed Methanol on Turbocharging Diesel Engine
p.436

3D Numerical Simulation and Analysis of Electrically Controlled Injection Device for Gaseous Fuel Engine
p.441

Low Pressure Shaft’s Bear Vibration Treatment for a Supercritical Turbine
p.446

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 614-615Fault Prediction in Air-Conditioning Refrigeration...

Fault Prediction in Air-Conditioning Refrigeration System by Wavelet Transform

Abstract:

A good deal of electricity consumption can be attributed to air-conditioning refrigeration systems. The percentage can be significantly higher if a cooling system is operating at low performance levels due to the presence of faults. The wavelet transform moves data from a time domain to a frequency domain with the wavelet as the basic function giving the localized features of the original signal in the fault detection. It is well known for its capability of treating the transient or time-related varying signals. The fault of heat load increase of the air-conditioning room can be predicted by wavelet transform through the test. Fault prediction in air-conditioning refrigeration system by wavelet transform can avoid defects of the conventional methods.

You might also be interested in these eBooks

Advances in Power and Electrical Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 614-615)

Pages:

428-431

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.614-615.428

Citation:

Cite this paper

Online since:

December 2012

Authors:

Jian Jun Li, Zhi Yi Wang, Dong Zheng

Keywords:

Fault Diagnosis, Signal, Test, Wavelet Transform (WT)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Herzog, p., and L. LaVine. 1992 Identification and quantification of the impact of improper operation of midsize Minnesota office buildings on energy use: A seven building case study. Proc. ACEEE 1992 Summer Study non energy Efficiency in Buildings, p.3.121-3.129

Google Scholar

[2] Huang, J., H. Akbari, L. Reiner, and R. Ritschard. 1991. 481 Prototypical commercial buildings for 20 urban market areas. GRI Report GRI-90/0326.

Google Scholar

[3] Proceedings of the conference 'Wavelet, Time-frequency Methods and Phase Space', Dec. 1987, Combers, Grossmann and tchamitchian Ed.

Google Scholar

[4] Staszewski W J, Thomlinson G R. Application of the wavelet transform to fault detection in a spur gear. Mechanical System and Signal Processing, 1994, 8(3): 289-307

DOI: 10.1006/mssp.1994.1022

Google Scholar