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Technique for optimal placement of transducers for fault detection in rotating machines

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© 2013 SAGE Publications. This is the post print version of the following article: Fatima, S. & Dastidar, S. G. & Mohanty, A. R. & Naikan, V. N. A. 2013. Technique for optimal placement of transducers for fault detection in rotating machines. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. Volume 227, Issue 2. 119-131. ISSN 1748-006X (printed). DOI: 10.1177/1748006x13475412, which has been published in final form at http://pio.sagepub.com/content/227/2/119.abstract.
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School of Engineering | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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en

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119-131

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Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Volume 227, Issue 2

Abstract

Online fault detection and diagnosis of rotating machinery requires a number of transducers that can be significantly expensive for industrial processes. The sensitivity of various transducers and their appropriate positioning are dependent on different types of fault conditions. It is critical to formulate a method to systematically determine the effectiveness of transducer locations for monitoring the condition of a machine. In this article, number of independent sources analysis is used as an effective tool for reducing the number of vibration sources within the system, which is then followed by prin- cipal component analysis to identify the incoherent transducers to be employed for fault detection. This experiment is conducted on a machine fault simulator for unbalanced rotor, misaligned shaft, and cracked shaft. The validation of the proposed selection process is illustrated using spectral analysis for each defect.

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Fatima, S. & Dastidar, S. G. & Mohanty, A. R. & Naikan, V. N. A. 2013. Technique for optimal placement of transducers for fault detection in rotating machines. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. Volume 227, Issue 2. 119-131. ISSN 1748-006X (printed). DOI: 10.1177/1748006x13475412.

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