Rule-Based Decision Making in Biologically Inspired Condition Management System

Hariom Dhungana

2024

Abstract

Biomimicry is an approach for solving industrial challenges by taking inspiration from bio-organisms’ responses. In an ongoing research project, investigations are being carried out to explore the use of biomimicry approach for a human-centric condition management system. In this system the decision-making process is divided into three types procedural decision-making, deliberative decision-making, and argumentative decision-making. This paper intends to show the experimental verification of rule-based decision making (a type of procedural decision making) in condition monitoring system using an example of rolling element bearing. Rule-based decision-making involves using predefined guidelines to make choices, ensuring structured, consistent, fair, efficient, and unbiased decisions. Vibration sensor data is used from PRONOSTIA datasets to obtain four useful information’s and using those information’s in fuzzy rules to get decision. The outcomes indicate the viability of the suggested framework for rule-based decision-making using real-time vibration data.

Paper Citation

in Harvard Style

Dhungana H. (2024). Rule-Based Decision Making in Biologically Inspired Condition Management System. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 1245-1254. DOI: 10.5220/0012461100003636

in Bibtex Style

@conference{icaart24,
author={Hariom Dhungana},
title={Rule-Based Decision Making in Biologically Inspired Condition Management System},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={1245-1254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012461100003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Rule-Based Decision Making in Biologically Inspired Condition Management System
SN - 978-989-758-680-4
AU - Dhungana H.
PY - 2024
SP - 1245
EP - 1254
DO - 10.5220/0012461100003636
PB - SciTePress