Machine Learning Based Predictive Maintenance System for Industrial Chain Conveyor System

Author:

Goh Kai Woon,Chaw Kam Heng,Yong Jonathan C. E.,Koh Ye Sheng,Dares Marvin,Su Eileen L. M.,Yeong Che Fai

Publisher

Springer Singapore

Reference13 articles.

1. Conveyor System Market by Industry (Warehouse & Distribution, Food & Beverage – Meat, Poultry & Dairy, Automotive, Electronics, Mining, and Airport), Type (Belt, Roller, Overhead, Floor, Pallet, Crescent, Cable, Bucket) & Region - Global Forecast to 2025 (2019)

2. Fedorko, G., et al.: Failure analysis of belt conveyor damage caused by the falling material. Part I: experimental measurements and regression models. Eng. Fail. Anal. 36, 30–38 (2014)

3. Liu, X., He, D., Lodewijks, G., Pang, Y., Mei, J.: Integrated decision making for predictive maintenance of belt conveyor systems. Reliab. Eng. Syst. Saf. 188, 347–351 (2019)

4. Blazej, R., Jurdziak, L., Kawalec, W.: Operational safety of steel-cord conveyor belts under non-stationary loadings. Appl. Cond. Monit. 4, 473–481 (2016)

5. Deloitte: Predictive maintenance taking pro-active measures based on advanced data analytics to predict and avoid machine failure (2017)

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1. Expert Analysis for Multi-criteria Human-in-the-Loop Input Selection for Predictive Maintenance Model;Materials, Design and Manufacturing for Sustainable Environment;2022-09-29

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