Failure Analysis for Hydraulic System of Heavy-Duty Machine Tool with Incomplete Failure Data

Li, Shizheng; Yang, Zhaojun; Tian, Hailong; Chen, Chuanhai; Zhu, Yongfu; Deng, Fuqin; Liang, S.

doi:10.3390/app11031249

Cited by 21 publications

(16 citation statements)

References 33 publications

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“…In all three functional failures, oil contamination plays the main role and should be recognized as a main problem of fluid power systems. It agrees with practical experience and also with the results of research presented in study [2] where failure analysis was conducted for a hydraulic system of a heavy-duty machine. The failure analysis in this work was conducted with more sophisticated methods and tools than the presented method: fault tree analysis, Dempster-Shafer theory, and rough set theory to fill were implemented to eliminate the incompleteness and the uncertainty delivered by experts.…”

Section: Discussionsupporting

confidence: 90%

“…Fluid power systems and their components must be highly reliable, their potential failures must be recognized early and investigated, and corrective plans must be prepared. Research on their failures and reliability is conducted using qualitative and quantitative tools and methods individually or together [2][3][4]. One of the widely used methods is the FMEA (failure modes and effects analysis).…”

Section: Introductionmentioning

confidence: 99%

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A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems

2021

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FMEA analysis is a tool of quality improvement that has been widely used for decades. Its classical version prioritizes risk of failure by risk priority number (RPN). The RPN is a product of severity (S), occurrence (O), and detection (D), where all of the factors have equal levels of significance. This assumption is one of the most commonly criticized drawbacks, as it has given unreasonable results for real-world applications. The RPN can produce equal values for combinations of risk factors with different risk implications. Another issue is that of the uncertainties and subjectivities of information employed in FMEA analysis that may arise from lack of knowledge, experience, and employed linguistic terms. Many alternatives of risk assessment methods have been proposed to overcome the weaknesses of classical FMEA risk management in which we can distinguish methods of modification of RPN numbers of employing new tools. In this study, we propose a modification of the traditional RPN number. The main difference is that severity and occurrence are valued based on subfactors. The detection number remained unchanged. Additionally, the proposed method prioritizes risk in terms of implied risk to the systems by implementing functional failures (effects of potential failures). A typical fluid power system was used to illustrate the application of this method. The method showed the correct failure classification, which meets the industrial experience and other research results of failures of fluid power systems.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems

2021

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“…Generally speaking, the failure of the hydraulic heightening system mainly occurs in the leakage and mechanical failure of hydraulic pumps, valves, and cylinders [6]. At present, experts and scholars have various methods for the fault diagnosis of hydraulic systems and internal components.…”

Section: Introductionmentioning

confidence: 99%

A Fault Diagnosis Method of the Shearer Hydraulic Heightening System Based on a Rough Set and RBF Neural Network

2023

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The hydraulic heightening system is the core component of the shearer, and its stable operation directly affects the safety and reliability of the equipment, so it is of great significance to realize an efficient and accurate fault diagnosis. This paper proposes a fault diagnosis method combining a rough set and radial basis function neural network (RS-RBFNN). Firstly, the RS is used to discretize the original fault data set and attribute reduction, remove the redundant information, and mine the implicit knowledge and potential rules. Then, the topology structure of the RBFNN is determined. The mapping relationship is established between the fault symptom and category. The fault diagnosis is carried out with Python language. Finally, the method is compared with two diagnostic methods including a back propagation neural network (BPNN) and RBFNN. The research results show that the RS-RBFNN has the highest fault diagnosis accuracy, with an average of 98.68%, which verifies the effectiveness of the proposed fault diagnosis method.

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“…For the system fault diagnosis and performance analysis, a fault tree analysis method is proposed by SLi et al Eliminate uncertainty using expert opinion, combining field data based on Dempster-Shafer theory and rough set theory [10]. Guo C et al proposed a new FDD method for process fault identification based on incomplete data interpolation techniques, with an improved stacked autoencoder in the incomplete data processing stage [11].…”

Section: Introductionmentioning

confidence: 99%

Research and application of digital technology of film coating equipment

Liu¹,

Yang²,

Zhu³

2023

FCIS

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At present, most of the coating production still adopts relatively backward traditional methods, there are its equipment status, operation, production, repair and maintenance information of digital technology application less problems. In view of this problem, a data acquisition module and data processing system are developed to realize the data acquisition and real-time monitoring of the equipment temperature, vacuum degree, rotation speed, target material, film thickness and surface condition. The data acquisition module consists of a self-organized network system formed by the sensor nodes deployed in the detection area and installed on the device, combined with / wireless communication. Through the development of the system to achieve the digital and intelligent application of coating equipment.

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Failure Analysis for Hydraulic System of Heavy-Duty Machine Tool with Incomplete Failure Data

Cited by 21 publications

References 33 publications

A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems

A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems

A Fault Diagnosis Method of the Shearer Hydraulic Heightening System Based on a Rough Set and RBF Neural Network

Research and application of digital technology of film coating equipment

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