Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory

In order to rapidly evaluate the working performance of an Electric Power Steering System (EPS) and clarify the key indicators that affect its working condition, targeted maintenance measures can be taken to improve the vehicle’s handling, stability, and safety. This paper took an EPS system as the...
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Autor*in:	Zebin Deng [verfasserIn] Annan Du [verfasserIn] Chenxi Yang [verfasserIn] Jianxing Tong [verfasserIn] Yu Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	EPS AHP entropy weight method game theory cloud theory multi-level evaluation

Übergeordnetes Werk:	In: Applied Sciences - MDPI AG, 2012, 14(2024), 3, p 1043
Übergeordnetes Werk:	volume:14 ; year:2024 ; number:3, p 1043

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/app14031043

Katalog-ID:	DOAJ094509751

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520			\|a In order to rapidly evaluate the working performance of an Electric Power Steering System (EPS) and clarify the key indicators that affect its working condition, targeted maintenance measures can be taken to improve the vehicle’s handling, stability, and safety. This paper took an EPS system as the research object and decomposed it into five working indicators: steering lightness, steering returnability, steering wheel mid-zone performance, steering wheel vibration, and power assist characteristics. On this basis, the subjective exponential extension Analytic Hierarchy Process (AHP) was combined with the objective improved entropy weight method, and then the combination weighting method of game theory was employed to ensure that the results were reliable. At the same time, a cloud model was introduced to understand the actual situation of each indicator by using cloud parameters and multi-level feedback results. According to the principle of maximum membership and the comprehensive evaluation method, the EPS performance evaluation result was obtained. The results showed that the comprehensive cloud parameter of EPS was <i<U</i< (74.31, 6.08, 0.50), which indicated that its working performance was in good condition, with some minor damage that did not affect its normal use; however, attention should be paid to the maintenance and repair of vulnerable components to ensure the handling, stability, and safety of the vehicle.
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callnumber-first	T - Technology
author	Zebin Deng
spellingShingle	Zebin Deng misc TA1-2040 misc QH301-705.5 misc QC1-999 misc QD1-999 misc EPS misc AHP misc entropy weight method misc game theory misc cloud theory misc multi-level evaluation misc Technology misc T misc Engineering (General). Civil engineering (General) misc Biology (General) misc Physics misc Chemistry Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory
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topic_title	TA1-2040 QH301-705.5 QC1-999 QD1-999 Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory EPS AHP entropy weight method game theory cloud theory multi-level evaluation
topic	misc TA1-2040 misc QH301-705.5 misc QC1-999 misc QD1-999 misc EPS misc AHP misc entropy weight method misc game theory misc cloud theory misc multi-level evaluation misc Technology misc T misc Engineering (General). Civil engineering (General) misc Biology (General) misc Physics misc Chemistry
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topic_browse	misc TA1-2040 misc QH301-705.5 misc QC1-999 misc QD1-999 misc EPS misc AHP misc entropy weight method misc game theory misc cloud theory misc multi-level evaluation misc Technology misc T misc Engineering (General). Civil engineering (General) misc Biology (General) misc Physics misc Chemistry
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title	Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory
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title_full	Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory
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title_sort	multilevel evaluation model of electric power steering system based on improved combination weighting and cloud theory
callnumber	TA1-2040
title_auth	Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory
abstract	In order to rapidly evaluate the working performance of an Electric Power Steering System (EPS) and clarify the key indicators that affect its working condition, targeted maintenance measures can be taken to improve the vehicle’s handling, stability, and safety. This paper took an EPS system as the research object and decomposed it into five working indicators: steering lightness, steering returnability, steering wheel mid-zone performance, steering wheel vibration, and power assist characteristics. On this basis, the subjective exponential extension Analytic Hierarchy Process (AHP) was combined with the objective improved entropy weight method, and then the combination weighting method of game theory was employed to ensure that the results were reliable. At the same time, a cloud model was introduced to understand the actual situation of each indicator by using cloud parameters and multi-level feedback results. According to the principle of maximum membership and the comprehensive evaluation method, the EPS performance evaluation result was obtained. The results showed that the comprehensive cloud parameter of EPS was <i<U</i< (74.31, 6.08, 0.50), which indicated that its working performance was in good condition, with some minor damage that did not affect its normal use; however, attention should be paid to the maintenance and repair of vulnerable components to ensure the handling, stability, and safety of the vehicle.
abstractGer	In order to rapidly evaluate the working performance of an Electric Power Steering System (EPS) and clarify the key indicators that affect its working condition, targeted maintenance measures can be taken to improve the vehicle’s handling, stability, and safety. This paper took an EPS system as the research object and decomposed it into five working indicators: steering lightness, steering returnability, steering wheel mid-zone performance, steering wheel vibration, and power assist characteristics. On this basis, the subjective exponential extension Analytic Hierarchy Process (AHP) was combined with the objective improved entropy weight method, and then the combination weighting method of game theory was employed to ensure that the results were reliable. At the same time, a cloud model was introduced to understand the actual situation of each indicator by using cloud parameters and multi-level feedback results. According to the principle of maximum membership and the comprehensive evaluation method, the EPS performance evaluation result was obtained. The results showed that the comprehensive cloud parameter of EPS was <i<U</i< (74.31, 6.08, 0.50), which indicated that its working performance was in good condition, with some minor damage that did not affect its normal use; however, attention should be paid to the maintenance and repair of vulnerable components to ensure the handling, stability, and safety of the vehicle.
abstract_unstemmed	In order to rapidly evaluate the working performance of an Electric Power Steering System (EPS) and clarify the key indicators that affect its working condition, targeted maintenance measures can be taken to improve the vehicle’s handling, stability, and safety. This paper took an EPS system as the research object and decomposed it into five working indicators: steering lightness, steering returnability, steering wheel mid-zone performance, steering wheel vibration, and power assist characteristics. On this basis, the subjective exponential extension Analytic Hierarchy Process (AHP) was combined with the objective improved entropy weight method, and then the combination weighting method of game theory was employed to ensure that the results were reliable. At the same time, a cloud model was introduced to understand the actual situation of each indicator by using cloud parameters and multi-level feedback results. According to the principle of maximum membership and the comprehensive evaluation method, the EPS performance evaluation result was obtained. The results showed that the comprehensive cloud parameter of EPS was <i<U</i< (74.31, 6.08, 0.50), which indicated that its working performance was in good condition, with some minor damage that did not affect its normal use; however, attention should be paid to the maintenance and repair of vulnerable components to ensure the handling, stability, and safety of the vehicle.
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title_short	Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory
url	https://doi.org/10.3390/app14031043 https://doaj.org/article/77e63e8e592e43b3a56e9451f08d9bcc https://www.mdpi.com/2076-3417/14/3/1043 https://doaj.org/toc/2076-3417
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This paper took an EPS system as the research object and decomposed it into five working indicators: steering lightness, steering returnability, steering wheel mid-zone performance, steering wheel vibration, and power assist characteristics. On this basis, the subjective exponential extension Analytic Hierarchy Process (AHP) was combined with the objective improved entropy weight method, and then the combination weighting method of game theory was employed to ensure that the results were reliable. At the same time, a cloud model was introduced to understand the actual situation of each indicator by using cloud parameters and multi-level feedback results. According to the principle of maximum membership and the comprehensive evaluation method, the EPS performance evaluation result was obtained. The results showed that the comprehensive cloud parameter of EPS was <i<U</i< (74.31, 6.08, 0.50), which indicated that its working performance was in good condition, with some minor damage that did not affect its normal use; however, attention should be paid to the maintenance and repair of vulnerable components to ensure the handling, stability, and safety of the vehicle.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">EPS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">AHP</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">entropy weight method</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">game theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cloud theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">multi-level evaluation</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Technology</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">T</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Engineering (General). 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Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory

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