Author
Fangji Wu
Bio: Fangji Wu is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Time domain & Prognostics. The author has an hindex of 2, co-authored 2 publications receiving 957 citations.
Topics: Time domain, Prognostics, Feature extraction
Papers
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TL;DR: A comprehensive review of the PHM field is provided, followed by an introduction of a systematic PHM design methodology, 5S methodology, for converting data to prognostics information, to enable rapid customization and integration of PHM systems for diverse applications.
1,164 citations
TL;DR: In this article, an effective method to search the features of subharmonic faults of large rotating machinery based on empirical mode decomposition (EMD) is described, which is an adaptive and unsupervised method in feature extraction and it provides an attractive alternative to the traditional diagnostic methods.
67 citations
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01 Jan 1990
TL;DR: An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article, where the authors present an overview of their work.
Abstract: An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.
2,933 citations
TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
1,602 citations
TL;DR: This paper attempts to survey and summarize the recent research and development of EMD in fault diagnosis of rotating machinery, providing comprehensive references for researchers concerning with this topic and helping them identify further research topics.
1,410 citations
TL;DR: The diagnosis results show that the proposed method is able to not only adaptively mine available fault characteristics from the measured signals, but also obtain superior diagnosis accuracy compared with the existing methods.
1,289 citations
TL;DR: A comprehensive review of the PHM field is provided, followed by an introduction of a systematic PHM design methodology, 5S methodology, for converting data to prognostics information, to enable rapid customization and integration of PHM systems for diverse applications.
1,164 citations