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A Blasting Sources-Based Approach to Inspection of Faults in Dam

Zhou Hougui,Tan Kaiyan

Strategic Study of CAE 2007, Volume 9, Issue 4, Pages 79-82

Abstract:

An approach to inspection of incipient faults in dam by non_d estructivetesting is a so far emerging inspection technology in the world.In this paper, inspection principles, system integrity and key items of the new blasting source-basedtechnology for inspection of incipient faults in dam, different from common non- destructive testing, are presented, following briefing experiences in dam inspection by elastic wave CT in recent years.

Keywords： blasting source dam inspection of incipient fault elastic wave dynamic monitoring excitation signal

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Crack fault quantitative diagnosis based on finite element of B-spline wavelet on the interval

XIANG Jia-wei, CHEN Xue-feng, HE Zheng-jia, HE Yu-min

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2, Pages 177-182 doi: 10.1007/s11465-006-0001-7

Abstract: The new method can be applied to prognosis and quantitative diagnosis of incipient crack.

Keywords： one-dimensional B-spline incipient prognosis identification precision

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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: This paper presents a method based on stochastic resonance (SR) to detect weak fault signal.applied to extract the weak characteristic component from heavy noise to indicate the little crack fault

Keywords： extended stochastic resonance (SR) stability analysis of SR scale transform weak signal detection incipientfault detection envelope analysis

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Visual Inspection Technology and its Application

Ye Shenghua,Zhu Jigui,Wang Zhong,Yang Xueyou

Strategic Study of CAE 1999, Volume 1, Issue 1, Pages 49-52

Abstract:

Visual inspection, especially, the active visual inspection and passive visual inspection based onVisual inspection is a advanced inspection technology, satisfies modern manufacturing demands.This paper discusses the principle of visual inspection, studies several developed applied visual inspectionsystems, these systems demostrate wide application foreground of visual inspection from different points

Keywords： active visual inspection passive visual inspection inspection system modern manufacturing

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Studies on Externalization of Application of Tongue Inspection of TCM

Wong Weiliang,Huang Shijing

Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 78-82

Abstract: other units, on the basis of making use of computer image technology and combining TCM theory of tongue inspection, developed the expert system of tongue inspection of TCM and accomplished the quantitative analysisof tongue inspection.Therefore, the application of tongue inspection of TCM on the quantificational diagnosis of the tongue

Keywords： tongue inspection externalization expert system

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A Laboratorial Method for Determining Incipient Yield Pressure of Thick Wall Cylinder

Zhang Yuxian’,Liao Zhenfang,Wang Hong ,Pei Jianghong

Strategic Study of CAE 2005, Volume 7, Issue 11, Pages 72-75

Abstract:

Based on the relation between the incipient yield pressure and the limit of yielding in cylinder accordingto the elastic disabled rule, a laboratorial method of determining the incipient yield pressure is designedThe incipient yield pressure of the cylinder is gained by analyzing the experimental data.

Keywords： thick wall cylinder disabled incipient yield pressure

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QMS: Its Application and Innovation at a Small Inspection and Appraisal Company

Ai-lian Lin,Yong-ning Niu,Ping-jing Yu

Frontiers of Engineering Management 2014, Volume 1, Issue 4, Pages 390-394 doi: 10.15302/J-FEM-2014054

Abstract: This paper analyzes the experience of a small inspection and appraisal company, discusses the establishment

Keywords： buildings inspection-appraisal quality management system (QMS)

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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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Time reversal method for guided wave inspection in pipes

DENG Fei, WU Bin, HE Cunfu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3, Pages 251-260 doi: 10.1007/s11465-008-0050-1

Abstract: reversal array method is beneficial to the improvement of the signal-to-noise ratio of a guided wave inspectionThe time reversal process used for guided wave inspection leads to the temporal and spatial focusing.

Keywords： reversal process beneficial circumferential location energy number

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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.The review discusses the special contributions of Chinese scholars to machinery fault diagnostics.On the basis of the review of basic theory of machinery fault diagnosis and its practical applications

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

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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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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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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