Adaptive neuro-fuzzy inference system with analytic hierarchy process: an application for drawworks’ failure mode and effect analysis-Reference-Cited by-同舟云学术

Adaptive neuro-fuzzy inference system with analytic hierarchy process: an application for drawworks’ failure mode and effect analysis

Published:2023-03-13 Issue: Volume: Page:1-24
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Udoncy Olugu Ezutah¹,Wong Kuan Yew²,Chung Ee Jonathan Young¹,Chun Kit Ang¹,Mammedov Yslam D³

Affiliation:

1. Department of Mechanical & Mechatronic Engineering, Faculty of Engineering, Technology & Built Environment, UCSI University, Kuala Lumpur, Malaysia

2. School of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia

3. Department of Industrial & Petroleum Engineering, Faculty of Engineering, Technology & Built Environment, UCSI University, Kuala Lumpur, Malaysia

Funder

UCSI University Pioneer Scientist Incentive Fund

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2023.2177733

Reference67 articles.

1. Multi criteria FMECA for coal-fired thermal power plants using COPRAS-G

2. Minimizing economic and environmental impacts through an optimal preventive replacement schedule: Model and application

3. Evaluation of green maintenance initiatives in design and development of mechanical systems using an integrated approach

4. A Modified Adaptive Neuro-Fuzzy Inference System Using Multi-Verse Optimizer Algorithm for Oil Consumption Forecasting

5. Evaluation of Safety Risks in Construction Using Fuzzy Failure Mode and Effect Analysis (FFMEA)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A social network analysis-based model for failure mode and effect analysis under linguistic preference relation environment;Engineering Applications of Artificial Intelligence;2023-11