Acoustical Failure Diagnosis of Bush in a Domestic Mixer

Author:

Charles S.1,Vijaya D. Joslin2

Affiliation:

1. Dhanalakshmi Srinivasan College of Engineering

2. JCT College of Engineering and Technology

Abstract

Many of the machines and systems having rotating components are designed for operation at high speeds, and hence, it is obvious that only these elements are damaged initially and becomes the root cause of a defect in any machine. Using on line, continuous monitoring techniques, any defect in a rotating part can be detected at its initial stage itself and the user could be alerted before it leads to a catastrophic failure. In this experimental work of the acoustical failure diagnosis, three domestic mixers, the first one in healthy condition, the next mixer about to fail and the last with completely damaged bush were analyzed, with a Type-1 and Delta ohm HD2010 Model sound level meter (SLM). The acoustical readings of the three mixers were measured and tabulated in decibel, using Delta Ohm Noise Studio software. Graphs were drawn for different sets of readings and by analyzing the graphs of the three mixers, the threshold value of the initiation of the defect was found to be 80 decibel, at which failure starts.

Publisher

Trans Tech Publications, Ltd.

Reference10 articles.

1. Information on http: /www. iasir. net.

2. J.S. Rao and R. Sreenivas, Dynamic analysis of misaligned rotor sys., Adv. Vib. Engg. 2 (2003) 1.

3. R. Dayal, ParhiandManoj Kumar Muni, Review of vibration faultdetection methods, Int. J. App. Artifi. Intelli. in Engg. Sys. l3 (2011)109-118.

4. A.K. Jalan and A.R. Mohanty, Model based fault diagnosis of a rotor-bearing systemfor misalignment andunbalance under steady-state condition, J. Sound Vib. 327 (2009) 604-622.

5. J.K. Sinha, Higher order spectra for Crack and misalignment identification in the shaft of a rotating machine, J. Struc. Health Monit. 6 (2007)325- 333.

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