Design and Development of Knowledge Bases for Forward and Reverse Mappings of TIG Welding Process

View Sample PDF

Author(s): J. P. Ganjigatti (Siddaganga Institute of Technology, Tumkur, India)and Dilip Kumar Pratihar (Indian Institute of Technology, Kharagpur, India)
Copyright: 2009
Pages: 16
Source title: Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery
Source Author(s)/Editor(s): Hsiao-Fan Wang (National Tsing Hua University, ROC)
DOI: 10.4018/978-1-59904-982-3.ch011

Keywords: Data Mining and Databases / Information Science Reference / Knowledge Discovery / Library & Information Science

Purchase

View Design and Development of Knowledge Bases for Forward and Reverse Mappings of TIG Welding Process on the publisher's website for pricing and purchasing information.

Abstract

In this chapter, an attempt has been made to design suitable knowledge bases (KBs) for carrying out forward and reverse mappings of a Tungsten inert gas (TIG) welding process. In forward mapping, the outputs (also known as the responses) are expressed as the functions of the input variables (also called the factors), whereas in reverse mapping, the factors are represented as the functions of the responses. Both the forward as well as reverse mappings are required to conduct, for an effective online control of a process. Conventional statistical regression analysis is able to carry out the forward mapping efficiently but it may not be always able to solve the problem of reverse mapping. It is a novel attempt to conduct the forward and reverse mappings of a TIG welding process using fuzzy logic (FL)-based approaches and these are found to solve the said problem efficiently.

The IRMA Community

Research IRM

Design and Development of Knowledge Bases for Forward and Reverse Mappings of TIG Welding Process

Purchase

Abstract

Related Content

IRMA Sponsors