Researches
 
Some of the selected of Projects involved in as Principal Investigator
1
 The Use of Novel Dual Transducers and Cylindrical Ultrasonic-guided Waves for Buried and Surface Pipeline Defect Inspection
2
 Robust Blind Source Separation for Automatically Segregating Vibrations Generated from Numerous Components that Experiencing Mutual Interference in Complex Machines
3
 An Adaptive Pattern Recognition Approach in the Application of Quality Inspection
4
 Feasibility Studies and Development of Fuzzy Controller for Mechatronic Consumer Products
5
 Development of Neuro-Fuzzy Systems for the Condition Monitoring and Fault Diagnosis
6
 Investigations into Intelligent Systems for the Diagnostics and Control of Manufacturing Machinery
7
 Development of a Hong Kong Micro-Robot Soccer Team and Participation in the World Championship of Micro-Robot Football
8
 Development of a Robust Machine Fault Diagnostic System by Adding Consistency into the Hybrid Neural Networks
9
 Comprehensive Machine Fault Diagnosis and Reliable Condition Prognosis Using Wavelet Analysis and Recurrent Neural Networks
10
 Web-based Remote Sensing, Fault Diagnosing and Collaborative Maintenance
11
 A Smart, Low-cost, and Fast-to-process Electronic Ear for Fault Diagnosis Using Machine Operating Sound and Analyzing by Wavelet Transforms and Neural Networks
12
 Smart Electronic Ear for Printing Machinery Fault Diagnosis and Intelligent Colour Printing Quality Enhancement System
13
 Embedded and Web-based Maintenance for the Multi-tasking and Multi-agent Type of Equipment Monitoring and Diagnosis
14
 Robust Blind Source Separation for Automatically Segregating Vibrations Generated from Numerous Components that Experiencing Mutual Interference in Complex Machines
15
 Advanced and Active Pipeline Flaw Detection Method Using Lamb Wave Generated by Smart Transducers
16

Development of a Generator Health-monitoring and Performance-enhancement System that can Save Fuel Costs and Increase Its Reliability

Some of the selected of Projects involved in as Co-Principal Investigator / Co-Investigator
1
 Industrial Technology Research in Manufacturing and Materials
2
 Design and Control of Hybrid Machines
3
 A Multi-media Case-Based Training System for Mechatronic Engineering Design
4
 Development of Vision-based Motion Centrol Systems with PMAC Motors for DSK's Wire Wedge Bonding Machines
5
 Modelling and Performance Evaluation of Multi-state Reliability Systems

 

Selected twenty publications

1
 Chan C. and Tse P., ¡§A Novel, Fast, Reliable Data Transmission Algorithm for Wireless Machine Health Monitoring¡¨, IEEE Transactions on Reliability, Vol. 58, No. 2, pp. 295-304. June 2009
2
 Tse P., and X. Wang, ¡§Semi-Quantitative Analysis of Defect in Pipelines through the Use of Technique of Ultrasonic Guided Waves¡¨, Key Engineering Materials, Vols. 413-414, Special Volume ¡V Damage Assessment of Structure VIII., pp. 109-116, May 2009. (0-87849-324-7)
3
 Rafiee, J., Tse P.W., Harifi A., and Sadeghi M., ¡§A Novel Technique for Selecting Mother Wavelet Function using an Intelligent Fault Diagnosis System", Expert Systems with Applications, 42(2). (Operations Research & Management Science, JCR 2006)
4
 Li Y, Tse P., and Wang X., ¡§Recovery of Vibration Signal Based on a Super-Exponential Algorithm¡¨, Sound and Vibration, Vol. 311, Issues 1-2, 18 March 2008, pp. 537-553.
5
 Tse P., Gontarz S., and Wang W., ¡§Enhanced Eigenvector Algorithm for Recovering Multiple Sources of Vibration Signals in Machine Fault Diagnosis¡¨, Mechanical Systems and Signal Processing, Vol. 21, No. 7, October, 2007, pp. 2794-2813.
6
 Peng Z., Chu F., Tse P., ¡§Singularity Analysis of the Vibration Signals by means of Wavelet Modulus Maxima Method¡¨, Mechanical Systems and Signal Processing, Vol. 21, issue 2, Feb. 2007. pp. 780-794.
7
 Tse P., Zhang J., and Wang X., ¡§Blind Source Separation and Blind Equalization Algorithms for Mechanical Signal Separation and Identification¡¨, Vibration and Control, Vol. 12 issue 4, April 2006. pp. 395-423.
8
 Peng Z., Tse P., and Chu F., ¡§An Improved Hilbert - Huang Transform and Its Application for Vibration Signal Analysis¡¨, Sound and Vibration, Vol. 286, August 2005, pp. 187-205.
9
 Yang W. X. and Tse P., ¡§An Advanced Strategy for Detecting Impulses in Mechanical Signals¡¨, Vibration and Acoustics - Transactions of the ASME, 127 (3), June 2005, pp. 280-284. (ISSN 1048-9002) (0.694, top 30%, Engineering, Mechanical, JCR 2004).
10
 Peng. Z., Chu F., and Tse P., ¡§Detection of the Rubbing-Caused Impacts for Rotor-Stator Fault Diagnosis Using Reassigned Scalogram¡¨, Mechanical Systems and Signal Processing, Vol. 19(2), March 2005, pp. 391-409
11
 Wang J., Tse P., He L., Yeung R.(0.1), ¡§Remote Sensing, Diagnosis and Collaborative Maintenance with Web-enabled Virtual Instruments and Mini-Servers¡¨, Advanced Manufacturing Technology, Vol. 24(9-10), Nov. 2004, pp. 764-772.
12
 Tse P., Yang W.X., and Tam H. Y., ¡§Machine Fault Diagnosis Through an Effective Exact Wavelet Analysis¡¨, Sound and Vibration, Vol. 277(4-5), Nov. 5, 2004, pp.1005-1024.
13
 Ip K. H., Tse P., and Tam H. Y.(0.1) ¡§Extraction of Patch-Induced Lamb Waves Using a Wavelet Transform¡¨ Smart Materials and Structures, Vol. 13(4), June 16, 2004, pp. 861 - 872.
14
 Lai W., Tse P., Zhang G., and Shi T., ¡§Classification of Gear Faults Using Cumulants and the Radial Basis Function Network¡¨, Mechanical Systems and Signal Processing, Vol. 18(2), March 2004, pp. 381-389.
15
 Yang W. and Tse P., ¡§Development of an advanced noise reduction method for vibration analysis based on singular value decomposition¡¨, NDT&E International, Vol. 36(6), September, 2003, pp. 419-432.
16
 Tam H.Y., Xu H., and Tse P., ¡§An Algorithm for the Interpolation of Hybrid Curves¡¨, Computer-Aided Design, Vol. 35(3), March 2003, pp. 267-277.
17
 Tse P., Peng Y., and Yam R., ¡§Wavelet Analysis and Envelop Detection for Rolling Element Bearing Fault Diagnosis - Their Effectiveness and Flexibility¡¨, Vibration and Acoustics-Transactions of the ASME, Vol. 123(3), July, 2001, pp.303-310.
18
 Yam R., Tse P., Li L. and Tu P., ¡§Intelligent Predictive Decision Support System for Condition-based Maintenance¡¨, Advanced Manufacturing Technology, Springer-Verlag London Ltd., Vol. 17(5), March 2001, pp. 383-391.
19
 Tse P., and Atherton, D., ¡§Prediction of Machine Deterioration Using Vibration based Fault Trends and Recurrent Neural Networks¡¨, Vibration and Acoustics - Transactions of the ASME, Vol. 121(3), July, 1999, pp. 355-362.
20
 Tse P., Wang D., and Atherton, D., ¡§Harmony Theory Yields Robust Machine Fault Diagnostic System Based on Learning Vector Quantization Classifiers¡¨, Engineering Applications of Artificial Intelligence, Elsevier Science Inc., Oct. 1996, Vol. 9, No. 5, pp. 487-498.