Cost-Analysis-Based Strategy for Load Balancing in Multi-Induction Motor Systems
0Cost-Analysis-Based Strategy for Load Balancing in Multi-Induction Motor Systems
Layman Abstract : This paper discusses the importance of reliability in industrial, military, aerospace, and satellite applications, where motor-driven systems are widely used. If a motor fails, it can lead to process shutdowns, product quality issues, and costly downtime. While many tools exist to predict motor failures and maintenance needs, this study introduces a new method to improve the reliability of motor-drive systems. It also provides a cost analysis framework to help select the best motor-drive setup for specific tasks. Finally, the paper presents an algorithm to determine the optimal number of Reserve/Redundant Induction Motors (RIMs) needed, demonstrated through two case studies.
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Original Abstract : A major concern for any industrial process, military, naval, aerospace, and satellite application, at various stages of process is the reliability. A stall in the process at any stage of production in an industrial process would result in a product with low quality. The majority of the industrial processes are generally carried out using a motor-drive arrangement. The quality of the final output of a process largely depends on the performance and reliability of the motor drive sets. Failure of motor running the process can result in a complete shutdown of the process. Certain processes may not even afford to offer downtime for maintenance. Downtime of motors can severely affect the quality of the endproduct of a process. The performance parameters employed for the cost analysis of motors are obtained from the manufacturer. It was found that although there are many tools and algorithms to predict the failure and maintenance patterns for motor, this paper presents a novel means to increase the reliability of motor-drive arrangements. It also presents a cost analysis framework for choosing a motor-drive arrangement for a particular load. In conclusion, an algorithm is developed to find the optimum number of RIMs. Two case studies are presented to show how the developed algorithm can be applied to calculate the optimum number of RIM.
View Book: https://doi.org/10.9734/bpi/erpra/v4/3053
#Load_sharing #optimization_of_load_shared_motors #Downtime_reduction