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  • SAGE Publications  (5)
  • Jiang, Fan  (5)
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  • SAGE Publications  (5)
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  • 1
    Online Resource
    Online Resource
    Bearing fault diagnosis based on spectrum image sparse representation of vibration signal
    SAGE Publications ; 2018
    In:  Advances in Mechanical Engineering Vol. 10, No. 9 ( 2018-09), p. 168781401879778-
    Details
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 10, No. 9 ( 2018-09), p. 168781401879778-
    Abstract: Bearings are crucial for industrial production and susceptible to malfunction in rotating machines. Image analysis can give a comprehensive description of vibration signal, thus, it has achieved much more attention recently in fault diagnosis field. However, it brings lots of redundant information from a single spectrum image matrix behind rich fault information, and massive spectrum image samples lead to exacerbation of this situation, which readily results in the accuracy-dropping problem of multiple local defective bearings diagnosis. To solve this issue, a novel feature extraction method based on image sparse representation is proposed. Original spectrum images are acquired through fast Fourier transformation. Sparse coefficient that reveals the underlying structure of spectrum image based on raw signals is extracted as the feature by implementing the orthogonal matching pursuit and K-singular value decomposition algorithm strategically, and then two-dimensional principal component analysis is applied for further processing of these features. Finally, fault types are identified based on a minimum distance strategy. The experimental results are given to demonstrate the effectiveness of the proposed method.
    Type of Medium: Online Resource
    ISSN: 1687-8140 , 1687-8140
    URL: Article
    DOI: 10.1177/1687814018797788
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2501620-9
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Fiber Bragg grating plate structure shape reconstruction algorithm based on orthogonal curve net
    SAGE Publications ; 2016
    In:  Journal of Intelligent Material Systems and Structures Vol. 27, No. 17 ( 2016-10), p. 2416-2425
    Details
    In: Journal of Intelligent Material Systems and Structures, SAGE Publications, Vol. 27, No. 17 ( 2016-10), p. 2416-2425
    Abstract: A space curved surface shape reconstruction algorithm is proposed for shape perception and reconstruction of flexible plate structure. First, biorthogonal strain data measured by optimal distributed Fiber Bragg grating sensor network are converted to discrete curvature data. Second, interpolation is done to achieve curvature continuity for structural deformation. Third, moving coordinate systems are established in two orthogonal directions of the orthogonal curved network on the plate surface. Then, all nodal coordinates are computed using the given boundary conditions and nodal curvature. Coordinate transformation is done for two orthogonal coordinates according to the coupling relationship. Finally, a square flexible smart Fiber Bragg grating plate is constructed by implanting fiber grating sensor network, and a visualization experimental platform is constructed. Experimental analysis and verification were done. The experimental results show that the proposed shape reconstruction algorithm has good reconstruction performance for pure bending deformation, torsional deformation, and low-frequency dynamic vibration shape.
    Type of Medium: Online Resource
    ISSN: 1045-389X , 1530-8138
    URL: Article
    DOI: 10.1177/1045389X16641204
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2088313-4
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Tension monitoring for the ring chain transmission system using an observer-based tension distribution estimation method
    SAGE Publications ; 2017
    In:  Advances in Mechanical Engineering Vol. 9, No. 9 ( 2017-09), p. 168781401772725-
    Details
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 9, No. 9 ( 2017-09), p. 168781401772725-
    Type of Medium: Online Resource
    ISSN: 1687-8140 , 1687-8140
    URL: Article
    DOI: 10.1177/1687814017727251
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2501620-9
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Noise reduction in feature level and its application in rolling element bearing fault diagnosis
    SAGE Publications ; 2018
    In:  Advances in Mechanical Engineering Vol. 10, No. 3 ( 2018-03), p. 168781401876482-
    Details
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 10, No. 3 ( 2018-03), p. 168781401876482-
    Type of Medium: Online Resource
    ISSN: 1687-8140 , 1687-8140
    URL: Article
    DOI: 10.1177/1687814018764820
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2501620-9
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  • 5
    Online Resource
    Online Resource
    Fault Severity Estimation of Rotating Machinery Based on Residual Signals
    SAGE Publications ; 2012
    In:  Advances in Mechanical Engineering Vol. 4 ( 2012-01), p. 518468-
    Details
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 4 ( 2012-01), p. 518468-
    Abstract: Fault severity estimation is an important part of a condition-based maintenance system, which can monitor the performance of an operation machine and enhance its level of safety. In this paper, a novel method based on statistical property and residual signals is developed for estimating the fault severity of rotating machinery. The fast Fourier transformation (FFT) is applied to extract the so-called multifrequency-band energy (MFBE) from the vibration signals of rotating machinery with different fault severity levels in the first stage. Usually these features of the working conditions with different fault sensitivities are different. Therefore a sensitive features-selecting algorithm is defined to construct the feature matrix and calculate the statistic parameter (mean) in the second stage. In the last stage, the residual signals computed by the zero space vector are used to estimate the fault severity. Simulation and experimental results reveal that the proposed method based on statistics and residual signals is effective and feasible for estimating the severity of a rotating machine fault.
    Type of Medium: Online Resource
    ISSN: 1687-8140 , 1687-8140
    URL: Article
    DOI: 10.1155/2012/518468
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
    detail.hit.zdb_id: 2501620-9
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