Fault Prediction and Maintenance of Non‐Periodic Incipient Fault for Hydraulic Tube Tester

Zhao, Zhen; Zhang, Jun; Wang, Shu; Chang, Yuqing; Jia, Mingxing

doi:10.1002/asjc.836

Cited by 3 publications

(2 citation statements)

References 19 publications

(22 reference statements)

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“…[6,7] It facilitates fault maintenance, timely detection, and troubleshooting. [8][9][10] However, the multi-phase and strong dynamic characteristics of batch processes increase the challenges of fault prediction. As a result, fault prediction has become a research challenge in the field of batch processes.…”

Section: Introductionmentioning

confidence: 99%

GELU‐LSTM‐encoder‐decoder fault prediction for batch processes based on the global–local percentile method

Gao,

Li,

et al. 2024

Can J Chem Eng

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Fault prediction is a crucial strategy for ensuring the safety and efficiency of batch processes, and it aims to predict the degradation trend and isolate the fault. Operating mistakes or external environment changes can lead to the degradation of batch processes, eventually resulting in faults. The point at which degradation begins is known as the time to start prediction (TSP). Determining the TSP provides more reliable degradation information for fault prediction and enhances prediction accuracy. Nevertheless, it is difficult to obtain TSP in batch processes because of some complex data features, such as multi‐phase and strong dynamics, which result in a significant loss of fault prediction. To address these challenges, a fault prediction method is proposed based on the global–local percentile method applied to Gaussian error linear unit‐long short‐term memory‐encoder‐decoder (GELU‐LSTM‐encoder‐ED). Firstly, squared prediction error (SPE) is normalized to eliminate differences in data features. Secondly, a global–local percentile method is proposed to determine the TSP. The period is divided based on the threshold fluctuation to derive the model input. Then the global percentile model is employed to identify the interval to which the TSP belongs. Subsequently, the local percentile model is employed to analyze this interval and identify the TSP. Thirdly, the LSTM based on the encoder‐decoder model, enhanced with the GELU, is utilized to improve the performance of fault prediction. Finally, two fault datasets on the penicillin fermentation process and Escherichia coli fermentation process are employed to demonstrate the performance of the presented method compared with other shared methods.

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Section: Introductionmentioning

confidence: 99%

GELU‐LSTM‐encoder‐decoder fault prediction for batch processes based on the global–local percentile method

Gao,

Li,

et al. 2024

Can J Chem Eng

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show abstract

“…One of the reasons, first, the lack of coal mining machinery hydraulic system, the amount of oil, will lead to the emergence of a serious leakage of auxiliary pump, auxiliary pump in a timely manner to ensure the efficiency of its operation can be optimized. Second, the safety of the device to set the value of the law is low, it will cause the entire system failure, to be set [1]. Third, bad cooling or high temperature will lead to the number of numerical pressure and cooling water does not meet the standards, to ensure that quickly adjusted to the rated value.…”

Section: Coal Mining Machinery Hydraulic System Fault Analysismentioning

confidence: 99%

Fault analysis and maintenance of the hydraulic system of coal mining machinery

Gu¹

2017

Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

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Abstract. With the continuous development of science and technology, mechanical work in the coal, the coal mining machinery hydraulic system has been more common, only the construction of a systematic dimension and control hierarchy management, in order to ensure the inspection results accord with the actual requirements of management. Technical staff in the establishment of fault analysis and control measures at the same time, it is necessary to conduct in-depth study and a comprehensive analysis of the corresponding research structure. In this paper, the coal mining machinery hydraulic system structure is briefly analyzed, and discussed the system fault and maintenance mechanism, in order to provide valuable references for related equipment maintenance and management personnel.In recent years, the continued implementation of China's coal mining project development process, the use ratio of hydraulic equipment and the frequency of use is also increasing, how to construct the system of management mechanism and management dimension, the relevant departments need to systematically deal with the actual demand, and the hydraulic equipment maintenance intensive, so as to establish prevention and maintenance measures to ensure the production operation and management effect at the same time, further improve the overall effectiveness of the work. Hydraulic system of coal mining machineryThe coal mining machinery hydraulic system is mainly composed of brake, clutch and gear shifting device, convert fluid pressure into mechanical energy, which is environmentally friendly and effective use value, and can use the actuator directly to the pressure into power. Therefore, in the process of carrying out the actual management process, if the hydraulic system failure, will cause the influence of transfer force of the gearbox to shift operation effectively, the effect of the corresponding processing equipment and the actual hydraulic structure will lose its effectiveness.In the hydraulic system of coal mining, the most basic element is the power component, is the motive of the mechanical energy into the main path of liquid pressure pump hydraulic system with power on the construction of a systematic support system, to ensure the power effect in line with the actual needs. Secondly, is the control system of the structure, is mainly a series of hydraulic valve structure, the liquid flow rate and direction parameters such as systematic analysis and pressure adjustment, combined with different control mechanism of the hydraulic system control element stress management. It is worth mentioning that, in the control components, pressure control valves, flow control valves and directional control valve is a very important parameter structure. In addition, the coal mining hydraulic system, the implementation of components also has a very important role to ensure the effectiveness of the load rotation and reciprocating process. And by means of auxiliary components and hydraulic oil, to ensure the normal operation of the whole hydraulic contr...

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Preventive maintenance period decision for elevator parts based on multi-objective optimization method

Niu

Guo

Bi³

et al. 2021

Journal of Building Engineering

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Fault Prediction and Maintenance of Non‐Periodic Incipient Fault for Hydraulic Tube Tester

Cited by 3 publications

References 19 publications

GELU‐LSTM‐encoder‐decoder fault prediction for batch processes based on the global–local percentile method

GELU‐LSTM‐encoder‐decoder fault prediction for batch processes based on the global–local percentile method

Fault analysis and maintenance of the hydraulic system of coal mining machinery

Preventive maintenance period decision for elevator parts based on multi-objective optimization method

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