Login | Register

Design of an expert system for ergonomic assessment

Title:

Design of an expert system for ergonomic assessment

Fan, Shen (2002) Design of an expert system for ergonomic assessment. Masters thesis, Concordia University.

[thumbnail of MQ68452.pdf]
Preview
Text (application/pdf)
MQ68452.pdf
4MB

Abstract

As a branch of artificial intelligence, expert systems have achieved a tremendous development in the past two decades and have gained mature implementations in many industrial fields. Ergonomics is playing an important role in the modern society. Applying the technology of expert systems in ergonomics makes it possible for people to use the expertise of ergonomic experts to finish their work correctly and efficiently without the assistance of experts. This thesis presents the design of a rule-based expert system that is used to analyze and evaluate the working conditions by ergonomic standards. CLIPS (C Language Integrated Production System) is the tool used to develop this expert system. The knowledge base of this expert system is acquired from OSHA's (Occupational Safety and Health Administration) ergonomic standards and Washington State's Ergonomics Rules. Our expert system has five subcomponents construct this expert system: management component, general OSHA questions component, Visual Display Terminal analysis component, Lifting calculation component and In-depth work analysis component. The management component controls the flow of the other subcomponents whereas the other subcomponents identify hazards of musculoskeletal disorders and evaluate ergonomic conditions in the workplace. The power of our expert system is shown by doing a step-by-step in-depth work analysis as an example.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Fan, Shen
Pagination:x, 182 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical and Industrial Engineering
Date:2002
Thesis Supervisor(s):Chen, Ming Yuan
Identification Number:QA 76.76 E95F36 2002
ID Code:1642
Deposited By: Concordia University Library
Deposited On:27 Aug 2009 17:21
Last Modified:13 Jul 2020 19:50
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top