Safety Assessment Method for the Crane Structure Based on the Unacertained Measuring Theory

Rui-gang, Yang; Lu, Y. C.; Wang, Lei; Xu, Gening

doi:10.14257/ijunesst.2015.8.8.31

Cited by 3 publications

(13 citation statements)

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“…Thus, to illustrate the proposed method, we determined the safety grade of a general overhead traveling crane. For comparison with the proposed model, sample data from four general overhead traveling cranes [5,13] are also examined. The index system includes four subsystems: portal frame (B1), hoisting mechanism (B2), operation mechanism (B3), and staff and management factors (B4).…”

Section: Case Studymentioning

confidence: 99%

“…The index system includes four subsystems: portal frame (B1), hoisting mechanism (B2), operation mechanism (B3), and staff and management factors (B4). A total of 16 key criteria across these four subsystems [5,13] are used in the safety assessment of general overhead traveling cranes. These criteria are listed in Table 1.…”

Section: Case Studymentioning

confidence: 99%

“…These criteria are listed in Table 1. According to previous studies, the safety grades for general overhead traveling cranes were divided into four categories [5,6,13], i.e., very low, low, medium, and high risk, denoted as I, II, III, and IV, respectively. The grade standard is given in Table 2.…”

Section: Case Studymentioning

confidence: 99%

“…The probability of every index with respect to grade h (h = I, II, III, IV) is presented in Table 3 [5,13]. For example, C1 of sample 1 was judged as belonging to grade I by two experts, to grade II by five experts, and to grade III by three experts.…”

Section: Establishing the Evaluation Vectormentioning

confidence: 99%

“…However, the maximum membership principle (MMP) of comprehensive fuzzy evaluations is not suitable for determining safety grades [10][11][12]. To overcome the limitations of MMP, Yang et al [13] used unascertained measurement theory (UMT) for crane safety assessments, but their assessment results were affected by the selection of confidence criteria. This is because higher confidence values give more conservative results.…”

Section: Introductionmentioning

confidence: 99%

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Crane Safety Assessment Method Based on Entropy and Cumulative Prospect Theory

Zhao

2017

Entropy

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Assessing the safety status of cranes is an important problem. To overcome the inaccuracies and misjudgments in such assessments, this work describes a safety assessment method for cranes that combines entropy and cumulative prospect theory. Firstly, the proposed method transforms the set of evaluation indices into an evaluation vector. Secondly, a decision matrix is then constructed from the evaluation vectors and evaluation standards, and an entropy-based technique is applied to calculate the index weights. Thirdly, positive and negative prospect value matrices are established from reference points based on the positive and negative ideal solutions. Thus, this enables the crane safety grade to be determined according to the ranked comprehensive prospect values. Finally, the safety status of four general overhead traveling crane samples is evaluated to verify the rationality and feasibility of the proposed method. The results demonstrate that the method described in this paper can precisely and reasonably reflect the safety status of a crane.

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Section: Case Studymentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Section: Establishing the Evaluation Vectormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Crane Safety Assessment Method Based on Entropy and Cumulative Prospect Theory

Zhao

2017

Entropy

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Condition Assessment Approach of Hydraulic Brake for Large Crane Based on State Estimation Algorithm

Zhou

Chang

2018

Wireless Pers Commun

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An Improved Model of Variable Fuzzy Sets with Normal Membership Function for Crane Safety Evaluation

Zhao

2017

Mathematical Problems in Engineering

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Crane safety evaluation is significant for reducing the casualties and economic losses. Various evaluation methods have been applied to evaluate crane safety. However, when index standard with respect to every level is described in terms of intervals, existing crane safety evaluation models are not ideal. Although variable fuzzy sets (VFS) method has successfully solved similar problems, its evaluation processes are rather complex complicated and tedious. In this paper, we provided an improved VFS evaluation method with normal membership function for solving crane safety problem, in which the evaluation criteria are described in terms of intervals. To demonstrate our presented method, the improved variable fuzzy sets (IVFS) method was applied to two numerical cases including an application to crane safety assessment. It is shown that our proposed method possesses the merit to simplify assessment processes of traditional VFS and can be applied to assess crane safety when criteria values are defined as interval numbers.

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Safety Assessment Method for the Crane Structure Based on the Unacertained Measuring Theory

Abstract: The paper is engaged in a study of the crane structure safety assessment method based on the unascertained measuring theory. With

Cited by 3 publications

References 0 publications

Crane Safety Assessment Method Based on Entropy and Cumulative Prospect Theory

Crane Safety Assessment Method Based on Entropy and Cumulative Prospect Theory

Condition Assessment Approach of Hydraulic Brake for Large Crane Based on State Estimation Algorithm

An Improved Model of Variable Fuzzy Sets with Normal Membership Function for Crane Safety Evaluation

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