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Development of LDA Based Indicator for the Detection of Unbalance and Misalignment at Different Shaft Speeds

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Abstract

In this work, novel Linear Discriminant Analysis (LDA) based indicator has been developed for the detection of unbalance and misalignment at different shaft speeds. The process started with the acquisition of shaft displacement data in fixed time increment. Adaptive resampling of the acquired data was carried to convert time domain data to angular domain. Further, spectrum of angular domain signal was computed. Features were extracted from angular domain vibration signal and its spectrum. Then, LDA of features was done to form linear mapping and 1-D feature. The 1-D feature acts as indicator to discriminate between unbalance and misalignment condition. The experimental result indicate that developed LDA based feature is able to differentiate misalignment and unbalance irrespective of shaft speed by processing data in the angular domain. Using the developed indicator, machine operator will be able to easily determine the presence of unbalance and misalignment in shaft and corrective measures can be taken timely.

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Acknowledgements

Authors are thankful to Editor for facilitating reviewer’s feedback to the manuscript. The valuable suggestions of anonymous reviewers in improving the manuscript are thankfully acknowledged.

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Authors and Affiliations

  1. Amity University Uttar Pradesh, Noida, 201 313, India

    A. Kumar

  2. Precision Metrology Laboratory, Department of Mechanical Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, 148 106, India

    R. Kumar

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Kumar, A., Kumar, R. Development of LDA Based Indicator for the Detection of Unbalance and Misalignment at Different Shaft Speeds. Exp Tech 44, 217–229 (2020). https://doi.org/10.1007/s40799-019-00349-5

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