Intelligent Fault Diagnosis of Rotating Machinery Using Hierarchical Lempel-Ziv Complexity

Han, Bing; Wang, Shun; Zhu, Qingqi; Yang, Xiaohui; Li, Yongbo

doi:10.3390/app10124221

Cited by 15 publications

(10 citation statements)

References 33 publications

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“…The authors of [10] dealt with the condition monitoring of rotating machinery, in an effort to avoid disastrous failure and guarantee safe operation. Vibration-based fault diagnosis showed the most attractive properties for fault diagnosis of rotating machinery (FDRM).…”

Section: Review Of Issue Contentsmentioning

confidence: 99%

Advances in Machine Fault Diagnosis

Vaimann

2021

Applied Sciences

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Section: Review Of Issue Contentsmentioning

confidence: 99%

Advances in Machine Fault Diagnosis

Vaimann

2021

Applied Sciences

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“…A simple scheme of the dynamic indentor-rock system, which is affected by two crucial measurable input variables-pressure force F (N) and revolutions n (rpm), is shown in Figure 2 [33][34][35][36][37].…”

Section: Theoretical Background and Calculationmentioning

confidence: 99%

Statistical Process Control Charts Applied to Rock Disintegration Quality Improvement

et al. 2020

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At present, ever higher demands are placed on the quality of products. The success of organizations in the global market depends mainly on measuring and evaluating their products quality. A set of measurable criteria usually determines product quality. There are many technological processes in the structure of a production organization that is statistically unstable. The norms of ISO class 9000 emphasize statistical process control, known as SPC (Statistical Process Control). They represent a methodology for eliminating the causes of instability of production or technological process. The paper deals with the application of control charts for the technological process of rock disintegration by rotary drilling. The measured values of the dynamic system drilling tool-rock in working mode are processed. The control charts are applied to the input (control) variables of the pressure force-F (N), revolutions-n (rpm), and the output measured variable of the vibration signal of the acceleration. The article constructs and presents the resulting important control charts for the technological process of rock disintegration by rotary drilling. It is essential that for the technological process of rock drilling, the variables that enter and exit the dynamic system must be statistically manageable. The stable state of the input technical parameters (revolutions and pressure force) of the drilling tool is essential from the technological, performance, and economic point of view. The stable state of the output parameters is of significant importance in preventing the emergency state, excessive wear of the drilling equipment and optimizing the optimal operating mode. Industrial practice points out that the correct application of statistical regulation stabilizes the technological process, increasing the quality and productivity of work.

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“…In recent years, the algorithm has been used for bearing fault-type identification 25 and severity judgment. 26 The Lempel-Ziv complexity represents the rate at which new patterns appear in a time series.…”

Section: Introduction To the Lempel-ziv Complexitymentioning

confidence: 99%

Development and stability analysis of a high‐speed train bearing system under variable speed conditions

Wang

Liu

Zhang

et al. 2022

Int Journal of Mech Sys Dyn

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During a high‐speed train operation, the train speed changes frequently, resulting in motion change as a function of time. A dynamic model of a double‐row tapered roller bearing system of a high‐speed train under variable speed conditions is developed. The model takes into consideration the structural characteristics of one outer ring and two inner rings of the train bearing. The angle iteration method is used to determine the rotation angle of the roller within any time period, solving the difficult problem of determining the location of the roller. The outer ring and inner ring faults are captured by the model, and the model response is obtained under variable speed conditions. Experiments are carried out under two fault conditions to validate the model results. The simulation results are found to be in good agreement with the results of the formula, and the errors between the simulation results and the experimental results when the bearing has outer and inner ring faults are found to be, respectively, 5.97% and 2.59%, which demonstrates the effectiveness of the model. The influence of outer ring and inner ring faults on system stability is analyzed quantitatively using the Lempel–Ziv complexity. The results show that for low train acceleration, the inner ring fault has a more significant effect on the system stability, while for high acceleration, the outer ring fault has a more significant effect. However, when the train acceleration changes, the outer ring has a greater influence. In practice, train acceleration is usually small and does not frequently change in one operation cycle. Therefore, the inner ring fault of the bearing deserves more attention.

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Intelligent Fault Diagnosis of Rotating Machinery Using Hierarchical Lempel-Ziv Complexity

Cited by 15 publications

References 33 publications

Advances in Machine Fault Diagnosis

Advances in Machine Fault Diagnosis

Statistical Process Control Charts Applied to Rock Disintegration Quality Improvement

Development and stability analysis of a high‐speed train bearing system under variable speed conditions

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