A context-based service matching approach towards functional reliability for industrial systems

Huang, Chengxi; Xu, Li Da; Cai, Hongming; Li, Guoqiang; Du, Jiawei; Jiang, Lihong

doi:10.1080/17517575.2018.1509134

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…Sci. 2019, 9, 1219 10 of 28 3 Labor cost The labor cost includes the fixed salary and variable salary paid by the enterprise to the operators. The variable salary depends on the difference between the downtime of the equipment failure assessment and the actual downtime of the job.…”

Section: Matching Modelling Based On Competency and Complexity Strengmentioning

confidence: 99%

Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Zhang

et al. 2019

Applied Sciences

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Under the background of intelligent manufacturing, this paper aims to develop a model for person–job safe matching that optimizes safety with consideration of major equipment operator competency and task complexity. Safe matching cost is minimized in the developed model and is measured by the equipment downtime, production defect rate, and operator labor costs oriented by human factors. Human reliability is calculated with the goal of best value individual competency and best admit task complexity with a hierarchical structure. The 0-1 integer programming person–job matching model minimizes the human factor safety and wage costs and satisfies the requirements of the production order, budget and operator quantity requirement. An improved genetic algorithm is designed to solve the model. The computational results of the proposed model based on a case study for a large iron and steel company evidently demonstrated its effectiveness. A new integrated model provides more realistic matches for person–job assignment.

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Section: Matching Modelling Based On Competency and Complexity Strengmentioning

confidence: 99%

Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Zhang

et al. 2019

Applied Sciences

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Advanced Technologies to Support Service Discovery in Service-Oriented Systems

Azmy

Suhardi

Muhamad

2020

2020 International Conference on Information Technology Systems and Innovation (ICITSI)

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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor

AlShorman

Irfan

Saad

et al. 2020

Shock and Vibration

117

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The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating machinery (RM) have critical importance for early diagnosis to prevent severe damage of infrastructure in industrial environments. Importantly, valuable industrial equipment needs continuous monitoring to enhance the safety, reliability, and availability and to decrease the cost of maintenance of modern industrial systems and applications. However, induction motor (IM) has been extensively used in several industrial processes because it is cheap, reliable, and robust. Rolling bearings are considered to be the main component of IM. Undoubtedly, any failure of this basic component can lead to a serious breakdown of IM and for whole industrial system. Thus, many current methods based on different techniques are employed as a fault prognosis and diagnosis of rolling elements bearing of IM. Moreover, these techniques include signal/image processing, intelligent diagnostics, data fusion, data mining, and expert systems for time and frequency as well as time-frequency domains. Artificial intelligence (AI) techniques have proven their significance in every field of digital technology. Industrial machines, automation, and processes are the net frontiers of AI adaptation. There are quite developed literatures that have been approaching the issues using signals and data processing techniques. However, the key contribution of this work is to present an extensive review of CM and FDD of the IM, especially for rolling elements bearings, based on artificial intelligent (AI) methods. This study highlights the advantages and performance limitations of each method. Finally, challenges and future trends are also highlighted.

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A context-based service matching approach towards functional reliability for industrial systems

Cited by 3 publications

References 41 publications

Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Advanced Technologies to Support Service Discovery in Service-Oriented Systems

A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor

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