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  • SAGE Publications  (3)
  • Mao, Hanying  (3)
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  • SAGE Publications  (3)
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  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2017
    In:  Concurrent Engineering Vol. 25, No. 1 ( 2017-03), p. 81-92
    In: Concurrent Engineering, SAGE Publications, Vol. 25, No. 1 ( 2017-03), p. 81-92
    Abstract: More companies are facing challenges in extracting and utilizing knowledge in product lifecycle. To solve this problem, a product lifecycle–oriented knowledge service framework is proposed based on the status review. The proposed framework is supported by four key methods and processes, which include mechanism of knowledge service identification, mechanism of product knowledge service transfer, delivery process of product knowledge service, and performance evaluation of product knowledge service. Different with most of the previous fragmental studies, the proposed systematic knowledge service framework is mainly product lifecycle oriented. In addition, an application in gantry crane design shows that the proposed framework can provide effective lifecycle knowledge support for product development, which will help to promote concurrency and simultaneity in product development process.
    Type of Medium: Online Resource
    ISSN: 1063-293X , 1531-2003
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2101005-5
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2024
    In:  Journal of Vibration and Control Vol. 30, No. 5-6 ( 2024-03), p. 1002-1012
    In: Journal of Vibration and Control, SAGE Publications, Vol. 30, No. 5-6 ( 2024-03), p. 1002-1012
    Abstract: The condition monitoring system of the hydropower generator unit (HGU) contains a vast amount of monitoring data related to equipment performance. It is challenging to reveal the HGU performance change law from these data. This paper constructed a correlation transmissibility damage indicator (CTDI) to analyze HGU degradation performance based on the transmissibility function (TF). Unlike traditional TF damage indicators, CTDI can use different types of monitoring data to obtain system TF to increase TF combination and improve detection sensitivity. The analysis is performed using actual monitoring data from a hydropower plant in Guangxi, China. Firstly, a new frequency concept is defined based on the characteristics of HGU obtaining data every 10 minutes. Then, the HGU is considered a system and divided into three subsystems according to the sensor installation locations of the monitoring system. The damage indicator is used to analyze the system and its subsystems at the time scales of day, week, and month to locate and quantify the damage of HGU. The final results of this analysis show that the method can accurately detect and locate faults, applies to different operating conditions, and reveals the HGU performance deterioration pattern, which is of great significance for HGU maintenance.
    Type of Medium: Online Resource
    ISSN: 1077-5463 , 1741-2986
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2024
    detail.hit.zdb_id: 2070247-4
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Transactions of the Institute of Measurement and Control Vol. 45, No. 8 ( 2023-05), p. 1470-1483
    In: Transactions of the Institute of Measurement and Control, SAGE Publications, Vol. 45, No. 8 ( 2023-05), p. 1470-1483
    Abstract: Due to the fish scale surface of the weld seam, the guided wave dispersion is intensified, resulting in serious mode aliasing problem of the detected signal. It is difficult to analyze defect echo signal and locate defect accurately. To solve this problem, a new method of ultrasonic guided wave detection is proposed for weld defects based on matching pursuit and density peak clustering. First, according to the characteristics of the guided wave echo signal, a matching pursuit algorithm based on Morlet wavelet dictionary is established. The time-frequency analysis and parameter analysis of the obtained wavelet atoms are carried out to realize the modal separation and identification of the guided wave signal. Then, the similarity weight is introduced into the density peak algorithm to cluster the atoms obtained by sparse decomposition. The obtained clustering center is used to locate the weld defect. The validity of the method is proved by simulation and experiment. Finally, the experimental results show that the positioning error is 0.261% when the proposed method is used to detect the weld defects of 3-mm wide steel plate.
    Type of Medium: Online Resource
    ISSN: 0142-3312 , 1477-0369
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2025882-3
    SSG: 3,2
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