Rule-base formulation for clips-based work ergonomic assessment

AUTOMATED RULE-BASE CREATION via CLIPS-INDUCE

Many CLIPS rule-bases contain one or more rule groups that perform classi cation. In this paper we describe CLIPS-Induce, an automated system for the creation of a CLIPS classi cation rule-base from a set of test cases. CLIPS-Induce consists of two components, a decision tree induction component and a CLIPS production extraction component. ID3 [1], a popular decision tree induction algorithm, i...

Online Fault Detection and Isolation Method Based on Belief Rule Base for Industrial Gas Turbines

Real time and accurate fault detection has attracted an increasing attention with a growing demand for higher operational efficiency and safety of industrial gas turbines as complex engineering systems. Current methods based on condition monitoring data have drawbacks in using both expert knowledge and quantitative information for detecting faults. On account of this reason, this paper proposes...

Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

This study proposes a modified version of cultural algorithms (CAs) which benefits from rule-based system for influence function. This rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. This is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. This rule ...

Ergonomic Work Allowance (EWA) for cyclical industrial work

Automated Revision of Clips Rule-bases

This paper describes CLIPS-R, a theory revision system for the revision of CLIPS rule-bases. CLIPS-R may be used for a variety of knowledge-base revision tasks, such as re ning a prototype system, adapting an existing system to slightly di erent operating conditions, or improving an operational system that makes occasional errors. We present a description of how CLIPS-R revises rule-bases, and ...