Open Access Open Access  Restricted Access Subscription or Fee Access

CONDITION BASED MONITORING AND FAULT DIAGONISTICS OF A MACHINE

Divyansh Garg, Shubham Kaushiek, Vaibhav Kumar, Dharmendra Singh

Abstract


This piece of study shows the existing condition based monitoring and fault diagnostics techniques in a machine. Vibrations are produced in every machine and their amplitude depends upon the type of faults present in the machine, for example, gear fault, journal bearing, rolling contact bearing, flexible coupling and electrical machine faults. The main challenge for the condition monitoring of the machines is the cost and complexity of condition machine monitoring system which increases with increase in number of measurements. The main purpose of condition monitoring is to avoid the catastrophic failure due to the vibrations which is the main reason for the unplanned downtime of a machine. Condition based monitoring helps in making strategies to avoid unwarrantedtragic failure.

 

 

KEYWORDS: Condition Monitoring, Transducer, Fault Diagnostics, Maintenance.


Keywords


Condition monitoring; fault diagnostics; maintenance; transducer

Full Text:

PDF

References


(a) Rao SS. Mechanical Vibrations. 4th edition. Prentice Hall; 2003. (b) Thompson S. Tribology Solutions: Section 1-Computational Systems Incorporated (CSI). Knoxville, Tennessee, USA; 2000.

Devendrian S, Manivnnan K. Vibration-based condition monitoring and fault diagnosis technologies for bearing and gear components – A review. Int J Appl Eng Res. 2016; 11 (6): 3966–3975p.

Broch JT. Mechanical Vibration and Shock Measurement. Bruel and Kjaer; 1984.

Preventive/Predictive Maintenance. Section 8-Predictive maintenance. Marshall Institute; 1998.

Mehala Neelam, Dahiya Ratna. Condition montoring methods, failure identification and analysis for induction machines. Int J Circuits Syst Signal Process. 2009; 3(1): 29–35p.

Bhowmik Partha Sarathee, Pradhan Sourav, Prakash Mangal. Condition Monitoring and Fault Diagnostics of an Induction Motor: A Review. Durgapur, India: Electrical Engineering Department, National Institute of Technology; 2013.

Prakash Aditya, Agarwal Vikas Ku, Kumar Amit, Nand Bhaskra. A Review on Machine Condition Monitoring and Fault Diagnostics Using Wavelet Transform. Ranchi, India: BIT Misra; 2014.

Devendiran S, Manivannan K. Vibration Based Condition Monitoring and Fault Diagnosis Technologies for Bearing and Gear Components: A Review. Vellore, Tamil Nadu, India: School of Mechanical Engineering, VIT University.

Bloch HP, Geitner FK. Machinery Failure Analysis and Troubleshooting, Chapter 5. Houston, TX, USA: Gulf Publishing Company; 1983.

Shi DF, Wang WJ, Qu LS. Defect detection for bearing using envelop spectra of wavelet transform. J Vib Acoust. 2004; 126 (4): 567–573p.

Shikari B, Sadiwala CM. Automation in Condition Based Maintenance Using Vibration Analysis. Bhopal, India: MANIT; 2004.

Asilturk Ilhan, Aslanci Halit, Ozmen Ugur. Machinery Monitoring Using Vibration Signal Analysis. Konya, Turkey: Mechanical Engineering Department; 2017.

Saxena Prateek, Tondon Naresh. Fault diagnostics and health monitoring of machines using wireless condition monitoring systems. Int J Sci Eng Res. 2015; 6(4).

Wowk V. Machinery Vibration: Measurement and Analysis. New York, NY: McGraw-Hill; 1991.

Siffuzzaman M, Islam MR, Ali MZ. Application off wavelet transforms and its advantage compared to Fourier transform. J Phys Sci. 2009; 31: 121–134p.

Nakra BC. Condition Monitoring, Fault Diagnosis and Predictive Maintenance of Mechanical Systems. 2006; 2.

Shah H, Hirani H. Online condition monitoring of spur gears. Int J Cond Monit. 2014; 4 (1): 1–8p.




DOI: https://doi.org/10.37591/joeam.v9i2.835

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 Journal of Experimental & Applied Mechanics