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Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 264-291 doi: 10.1007/s11465-018-0472-3

Abstract:

Machinery fault diagnosis has progressed over the past decades with the evolution of machineries inHigh-value machineries require condition monitoring and fault diagnosis to guarantee their designed functionsResearch on machinery Fault diagnostics has grown rapidly in recent years.diagnosis in terms of four main aspects: Fault mechanism, sensor technique and signal acquisition, signalThe review discusses the special contributions of Chinese scholars to machinery fault diagnostics.

Keywords： fault diagnosis     fault mechanism     feature extraction     signal processing     intelligent diagnostics    

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Fault-Induced Coal Burst Mechanism under Mining-Induced Static and Dynamic Stresses Article

Wu Cai, Linming Dou, Guangyao Si, Yawei Hu

Engineering 2021, Volume 7, Issue 5,   Pages 687-700 doi: 10.1016/j.eng.2020.03.017

Abstract:

Fault is a common geological structure that has been revealed in the process of underground coal excavationThis paper first summarizes investigations into the relationships between coal mining layouts and faultoccurrences, along with relevant conceptual models for fault reactivation.of static and dynamic stresses, which include two kinds of fault reactivations from: mining-inducedin the fault pillar and dynamic stress from fault reactivation.

Keywords： Coal burst     Fault reactivation     Mining-induced stress     Seismic-based dynamic stress     Fault pillar    

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Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 57-60

Abstract:

Developing fault diagnosis expert system for production line, the principle and method of structuringillustrated that this idea is realized by defining a dynamic membership function changing with non-fault-time

Keywords： fault diagnosis     expert system     fuzzy inference    

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Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 998-1011 doi: 10.1007/s11709-020-0621-8

Abstract: In this paper, the effects of a reverse and a normal fault movement on a transversely crossing shallowas the sprayed concrete thickness, the geo-mechanical properties of soil, the tunnel depth, and the fault

Keywords： urban tunnel     sprayed concrete     reverse fault     normal fault     finite difference analysis    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: Therefore, performing fault monitoring and diagnosis on the traction system of the HST is necessary.various pattern recognition tasks and has demonstrated an excellent performance in traction system faultprimarily aims to review the research and application of machine learning in the field of traction system faultThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelyFinally, the challenges for accurate fault diagnosis under actual operating conditions are revealed,

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: Rotating machine fault signal extraction becomes increasingly important in practical engineering applicationsHowever, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially atthe early stage of fault diagnosis.As a result, fault signals with high SNRs can be obtained for fault feature extraction.

Keywords： phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

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Mechanism and control of existing faults on long-span concrete continuous system bridges in China

Lin Fan,Wang Ping,Xiao Kaijun,Li Wei

Strategic Study of CAE 2010, Volume 12, Issue 4,   Pages 78-81

Abstract:

Since 1980's, a lot of long-span prestressed concrete continuous system bridges have been constructed in China, and great success has been achieved. However, with the increase of numbers and service life of bridges, some similar diseases have been showed in this kind of bridges in succession. In this paper, the forms of many typical faults like excessive deflection in the mid-span, box beam crack and bottom slab stripping in the closure segment of mid-span, etc., have been summarized. And the characteristics of these faults' happening time, trend of development and distribution form have been pointed out. Their causes and corresponding prevention countermeasures have been analyzed. At last the direction which needs further study about the theory of computation and the measures which should be taken in design have been figured out .

Keywords： prestressed     concrete     continuous bridge     fault     control method    

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Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z

Abstract: energy operator (EO) and its variants have received considerable attention in the field of bearing faultAs a result, the fault-related transients strengthened by these improved EO techniques are still subjectTo address these issues, this paper presents a novel EO fusion strategy for enhancing the bearing faultThird, the intrinsic manifolds are weighted to recover the fault-related transients.experimental verifications confirm that the proposed strategy is more effective for enhancing the bearing fault

Keywords： higher order energy operator     fault diagnosis     manifold learning     rolling element bearing     information    

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Study on principle of electromagnetic-proof bionics and fault-restore mechanism

Yuan Liang,Man Menghua and Chang Xiaolong

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 76-85

Abstract: synapse to the character of network self- restoration was studied afterwards so that the corresponding mechanism

Keywords： bionics     electromagnetic bionics     electromagnetic protection     degeneracy     plasticity     robustness    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery.However, the inexplicability and low generalization ability of fault diagnosis models still bar themneural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical faultunique advantages in 1) the hierarchical structure that can support more accuracy and comprehensive faultThe multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.Tuning requires considerable experiences on the knowledge on CNN training and fault diagnosis, and isTo solve this problem, this paper proposes a novel automatic CNN (ACNN) for fault diagnosis, which canThe results show that ACNN outperforms these HPO and ML/DL methods, validating its potential in fault

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: Gearbox fault diagnosis based on vibration sensing has drawn much attention for a long time.Numerical simulation and experimental results demonstrate the proposed method can realize gear faultThe identified GMS has a clear physical meaning and is thus very useful for fault diagnosis of the complicated

Keywords： gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

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Finite element simulation for elastic dislocation of the North-Tehran fault: The effects of geologic

Pooya ZAKIAN; Hossein ASADI HAYEH

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 533-549 doi: 10.1007/s11709-022-0802-8

Abstract: method for simulating the crustal deformation due to the dislocation of a segment of the North-Tehran faultIn this regard, a geological map of Karaj that includes the fault segment is utilized in order to createFirst, finite element analysis of homogeneous counterpart of the fault’s domain with two different sectionsThe fault was modeled with the existing heterogeneity of the domain having been considered.usefulness of the proposed models in the dislocation analysis for the Karaj segment of North-Tehran fault

Keywords： finite element method     fault dislocation     slip distribution     the North-Tehran fault     heterogeneity     geological    

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Centrifuge experiments for shallow tunnels at active reverse fault intersection

Mehdi SABAGH, Abbas GHALANDARZADEH

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 731-745 doi: 10.1007/s11709-020-0614-7

Abstract: Assessing the interaction of soil and tunnel at an intersection with an active fault during an earthquakeDip-slip surface faulting in reverse mechanism of 60-degree is modeled by a fault simulator box in aFailure mechanism, progression and locations of damages to the tunnels are assessed through a gradualThe ground surface deformations and strains, fault surface trace, fault scarp and the sinkhole causedby fault movement are observed here.

Keywords： reverse fault rupture     continuous tunnel     geotechnical centrifuge     ground surface deformations     fragility    

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Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 483-490 doi: 10.1007/s11465-010-0118-6

Abstract: This paper presents an intelligent system that is necessary for diagnostic accuracy and efficiency in the iron and steel industry. A rule-based reseaning (RBR) intelligent diagnostic system has been developed based on many successful diagnostic applications. It can solve the difficulty in knowledge acquisition and has more precision. Its application results prove that the usability of the system is good and it will increasingly attain perfection.

Keywords： rule-based reasoning     fault diagnosis     intelligent system     gear box    

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Title Author Date Type Operation

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Fault-Induced Coal Burst Mechanism under Mining-Induced Static and Dynamic Stresses

Wu Cai, Linming Dou, Guangyao Si, Yawei Hu

Journal Article

Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Journal Article

Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse faultor a normal fault: A parametric study

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

Mechanism and control of existing faults on long-span concrete continuous system bridges in China

Lin Fan,Wang Ping,Xiao Kaijun,Li Wei

Journal Article

Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Journal Article

Study on principle of electromagnetic-proof bionics and fault-restore mechanism

Yuan Liang,Man Menghua and Chang Xiaolong

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article

Finite element simulation for elastic dislocation of the North-Tehran fault: The effects of geologic

Pooya ZAKIAN; Hossein ASADI HAYEH

Journal Article

Centrifuge experiments for shallow tunnels at active reverse fault intersection

Mehdi SABAGH, Abbas GHALANDARZADEH

Journal Article

Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE

Journal Article