Author, Subjects, Keywords

Cited Author

 
 
   » By Author or Editor
 » Browse Author by Alphabet
 » By Journal
 » By Subjects
 » Malaysian Journals
 » By Type
 » By Year
 » By Latest Additions
 
 
   » By Author
 » Top 20 Authors
 » Top 20 Article
 » Top Journal Cited
 » Top Article Cited
 » Journal Citation Statistics
 » Usage Since Sept 2007


 
 
 

Login | Create Account

An Expert Fault Diagnosis System For Auto Wire Bond Machine

Tan, Chee Fai, (2007) An Expert Fault Diagnosis System For Auto Wire Bond Machine. Jurnal Teknologi, 47 (A). pp. 55-73.

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
425Kb

Official URL: http://www.penerbit.utm.my/onlinejournal/47/A/JT47ADIS4.pdf

Affiliations

Technische Universiteit Eindhoven, Netherlands. Designed Intelligence Group, Faculty of Industrial Design

Abstract

Abstract: In the modern world, computing is essential in all aspects of manufacturing activity. Computers have brought to life terms like artificial intelligence, and have played a critical role in reinvention of manufacturing industry. In continuing quest to decrease the interval time between conceptualization of a product, information technology has been fused with manufacturing practice. This paper describes the use of expert system shell to develop a rule–based expert for an auto wire bond machine fault diagnosis system for hi–tech semiconductor industry. The main aim of the expert fault diagnosis system is to diagnose the problem of auto wire bond machine. In semiconductor industry, production equipment and machine have depended heavily on the use of human expertise for maintenance and it is costly. Without an expert system, his/her experience is lost when human is unavailable. With the developed expert system, the diagnosis process for the auto wire bond machine is standardized and accuracy will be increased compared to the conventional way. Therefore, the quality of products that are produced will improve. The constrains values for the fault diagnosis are based on design data and experience of the engineer. The expert fault diagnosis system is to improve bonding quality by reducing the production yield loss.

Abstrak: Dalam dunia moden, pengkomputeran adalah penting dalam semua aspek aktiviti pembuatan. Komputer telah melahirkan istilah seperti kepintaran maya, dan mempunyai peranan penting dalam mengubah industri pembuatan. Dalam usaha untuk mengurangkan masa selang antara pengkonsepan produk, teknologi maklumat telah berkait rapat dengan pengamalan pembuatan. Kertas kerja ini membincangkan penggunaan sistem pakar untuk membangunkan sistem untuk mendiagnosis masalah mesin ikatan wayar automatik pakar yang berdasarkan peraturan untuk industri semikonduktor yang berteknologi tinggi. Tujuan utama sistem pakar ini ialah mendiagnosis mesin ikatan wayar automatik. Dalam industri semikonduktor, peralatan dan mesin penghasilan adalah sangat bergantung kepada kepakaran manusia untuk penyelenggaraan dan keadaan ini adalah berkos tinggi. Tanpa sistem pakar, pengalaman pakar akan hilang apabila dia tiada. Dengan adanya sistem pakar, proses diagnosis boleh dipiawaikan dan ketepatan akan bertambah berbanding dengan cara lama. Dengan itu, kualiti produk akan bertambah baik. Nilai kekangan untuk diagnosis masalah adalah berdasarkan data reka bentuk dan pengalaman jurutera. Sistem pakar untuk mendiagnosis masalah adalah untuk menambahkan kualiti ikatan wayar dengan mengurangkan kehilangan alah produksi.

Item Type:Journal
Keywords:Auto wire bond machine, fault diagnosis, expert system shell, Mesin ikatan wayar automatik, diagnosis masalah, kerangka sistem pakar
Subjects:T Technology, Engineering
ID Code:3978

[1] Hetem, V. 2000. Communication: Computer Aided Engineering in the Next Millennium. Computer-Aided Design. 32: 389-394.

[2] Jackson, P. 1992. Introduction to Expert Systems. New York: Addison-Wesley.

[3] Chin, K. S. and T. N. Wong. 1996. Knowledge-based Evaluation for the Conceptual Design Development of Injection Mouldings parts. Artificial Intel ligence in Engineering. 9 (4): 359-376.

[4] Sapuan, S. M. and H. S. Abdalla. 1998. A Prototype Knowledge-based System for the Material Selection of Polymeric-based Composites for Automotive Components. Composites Part A, Applied Science and Manufacturing. 29A (7): 731-742.

[5] Sapuan, S. M. 2000. Expert System and Design of Polymer Based Composite Automotive Components. Journal of Information Technology. 12 (1): 41-56.

[6] Basri, H. B. 1994. An Expert System for Preliminary Landfill Design in Developing Countries. Ph.D thesis. Department of Civil Engineering, University of Leeds.

[7] Liebowitz, J. 1995. Expert System: A Short Introduction. Engineering Fracture Mechanics. 50(5/6): 601-607.

[8] Arezoo, B., K. Ridgway, and A.M.A. Al-Ahmali. 2000. Selection of Cutting Tools and Conditions of Machining Operations Using an Expert System. Computers in Industry. 42: 43-58.

[9] Sapuan, S. M., M. S. D. Jacob, F. Mustapha, and N. Ismail. 2002. A prototype Knowledge-based System for Material Selection of Ceramic Matrix Composites of Automotive Engine Components. Material and Design. 23: 701-708.

[10] Er, A. and R. Dias. 2000. A Rule-based Expert System Approach to Process Selection for Cast Components. Knowledge- based Systems. 13: 225-234.

[11] Moorkherjee, R. and B. Bhattacharyya. 2001. Development of an Expert System for Turning and Rotating Tool Selection in a Dynamic Environment. Journals of Materials Processing Technology. 113: 306-311.

[12] Wu, J., Y. Wang, and M. R. Bai. 2007. Development of an Expert System for Fault Diagnosis in Scooter Engine Platform Using Fuzzy-logic Inference. Expert Systems with Applications. 33: 1063-1075.

[13] Wu, J., P. Chiang, Y. Chang, and Y. Shiao. 2007. An Expert System for Fault Diagnosis in Internal Combustion Engines using Probability Neural Network. Expert Systems with Applications. doi:10.1016/j.eswa.2007.05.010.

[14] Afgan, N. H., M. G. Carvalho, P. A. Pilavachi, A. Tourlidakis, G. G. Olkhonski, and N. Martins. 2006. An Expert System Concept for Diagnosis and Monitoring of Gas Turbine Combustion Chambers. Applied Thermal Engineering. 26: 766-771.

[15] Chan, C. W. 2005. An Expert System Decision Support System for Monitoring and Diagnosis of Petroleum Production and Separation Processes. Expert Systems with Applications. 29: 131-143.

[16] Yang, B., D. Lim, and A. C. C. Tan. 2005. VIBEX: an Expert System for Vibration Fault Diagnosis of Rotating Machinery Using Decision Tree and Decision Table. Expert Systems with Applications. 28: 735-742.

[17] Qian, Y., M. Zheng, X. Li, and L. Lin. 2005. Implementation of Knowledge Maintenance Modules in an Expert System for Fault Diagnosis of Chemical Process Operation. Expert Systems with Applications. 28: 249-257.

[18] IntelliCorp, Inc. 1997. Kappa-PC Ver. 2.4 User Manual. CA: IntelliCorp Inc.

Repository Staff Only: item control page
 
 
 
 
 
 
© Copyright 2007 MyAIS Faculty of Computer Science and Information Technology, University of Malaya – All Rights Reserved. Malaysian Abstracting and Indexing System is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.