Approach for Machine Health Monitoring System of a Machine

  • Authors

    • Dharmendra Singh
    • Divyansh Garg
    • Abhishek Sharma
    • V. R. Mishra
    2018-12-13
    https://doi.org/10.14419/ijet.v7i4.39.24121
  • Condition Monitoring, Machine health Monitoring, temperature Fault Diagnostics, Maintenance, Vibration.

  • Abstract

    Vibration monitoring system has become a recognized technique to supervise the maintenance of machine. Machine health monitoring is the process of monitoring the condition of a machine to predict mechanical wear and tear and to predict failure of the machine. Vibration, noise, and temperature parameters are frequently used as key indicators to check the condition of the machines. This piece of study describes here is the development of a Machine Health Monitoring System using the vibration and the temperature of the tool of the machine as machining monitoring parameters. The selection of these parameters are based on the fact that this parameter is mainly responsible for the failure of a machine and also these parameters affect the quality of the part. The restrictions associated in this paper for Condition Based Monitoring are the installation of device on the machine and the cost of the Condition Based Monitoring Device increases with increase in number of measurement parameters, Condition based monitoring system helps in making the strategies to avoid unwanted tragic failure. This paper discusses the machine health monitoring using the vibration and tool temperature as an input parameter for health monitoring.

     

     

     

  • References

    1. [1] S. W. Doebling, C. R. Farrar, M. B. Prime, and D. W. Shevitz, “Damage Identi-fication and Health Monitoring of Structural and Mechanical Systems from Changes in their Vibration Characteristics: A Literature Review,†Report No. LA-13070-MS, Los Alamos National Laboratory, Los Alamos, NM, 1996.

      [2] L. BalisCrema and F. Mastroddi, “Frequency-Domain Based Ap-proaches for Damage Detection and Localization in Aeronautical Structures,†Proceedings of the 73th lnternational Modal Analysis Confer-ence, pp. 1322-1330, 1995.

      [3] Budipriyanto and A.S.J. Swamidas, “Experimental and Analytical Verification of Modal Behavior of Uncracked/Cracked Plates in Air and Water,†Proceedings of the 72th International Modal Analysis Conference, pp. 745-752, 1994.

      [4] H.M. Kim and T.J. Bartkowicz, “Damage Detection and Health Moni-toring of Large Space Structures,†Sound and Vibration, vol. 27, no. 6, pp. 12-17, 1993.

      [5] J.M. Ricles, “Nondestructive Structural Damage Detection in Flexible Space Structures Using Vibration Characterization,†NASA report CR-185670, 1991.

      [6] C. J. Kaufman, Rocky Mountain Research Laboratories, Boulder, Colo., personal communication, 1992. (Personal communication)

      [7] C. Chien, I. Elgorriaga, and C. Mc Conaghy, “Low-power directsequence spread-spectrum modem architecture for distributed wireless sensor net-works,†ISLPED’01, Huntington Beach, California, pp: 251-254, Aug. 2001.

      [8] I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,†Computer Networks, vol. 38, pp. 393–422, 2002.

      [9] G. S. Maruthi and K. P. Vittal, “Electrical Fault Detection in three phase squirrel cage induction motor by vibration analysis using MEMS accel-erometer,†Proc. IEEE Power Electronics and Drive System (PEDS), pp. 838-843, 2005.

      [10] L. Hou and N.W. Bergmann, “Novel Industrial Wireless Sensor Networks for Machine Condition Monitoring and Fault Diagnosis,†IEEE transactions on instrumentation and measurement, vol. 61, no. 10, pp. 2787-2798, 2012, doi: 10.1109/TIM.2012.2200817.

      [11] S. Nandi, H.A. Toliyat, and X. Li, “Condition Monitoring and Fault Diagno-sis of Electrical Motors—A Review,†IEEE transactions on energy conversion, vol. 20, no. 4, pp. 719-729, 2005, doi: 10.1109/TEC.2005.847955.

      [12] B. Li, M. Y. Chow, Y. Tipsuwan, and J. C. Hung, “Neural-Network-Based Motor Rolling Bearing Fault Diagnosis,†IEEE transactions on industrial elec-tronics, vol. 47, no. 5, pp. 1060-1069, 2000.

      [13] Vogl, D.T.Wang, P. Storas, T. Bakke, M.M.V. Taklo, A. Thomson, and L. Balgard, “Design, process and characterisation of a high-performance vi-bration sensor for wireless condition monitoring,†Sensors and Actuators A, vol. 153, pp. 155–161, 2009

      [14] Doebling, S.W., Farrar, C.R., Prime, M.B., and Shevitz, D.W., Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics -A literature review," los alomos national laboratory report, no. La-13070-ms.1996.

      [15] Patton, R.J., Frank, P.M., and Clark, R.N., "Fault diagnosis ,,in dynamic systems/theory and application," London, prentice hall international, 1989

      [16] G. Waeyenbergh and L. Pintelon, “A frame for maintenance concept devel-opment,†International Journal of Production Economics, vol. 77, pp. 299– 313, 2002.

      [17] S. Nakajima, TPM: Introduction to TPM: Total Productive Maintenance, Productivity Press Inc., Cambridge, MA, 1988.

      [18] J. Moubray, Reliability Centered Maintenance, Butterworth-Heineman, Ox-ford, 1997.

      [19] B.S. Blanchard, Logistics Engineering and Management, Prentice-Hall, Eng-lewood Cliffs, NJ, 1992.

      [20] Kelly, Maintenance Organizations & Systems: Business-CentredMaintenance, Butterworth-Heinemann, Oxford, 1997.

      [21] J. Szymanski, T. Bangemann, J.P. Thomesse, C. Lang, M. Thron, X. Reboeuf, E. Garcia and Proteus, “A European initiative for e maintenance platform development,†Proceedings of the ETFA IEEE Conference, pp. 415–420, 2003.

      [22] R. Yu, B. Iung and H. Panetto, “A mutli-agents based e-maintenance sys-tem with case-based reasoning decision support,†Engineering Applications of Artificial Intelligence, vol. 16, pp. 321–333, 2003.

      [23] M. Koc and J. Lee, “A system framework for next-generation e-maintenance system,†Proceedings of Second International Symposium on Envi-ronmentally Conscious Design and Inverse Manufacturing, Tokyo, Japan, 2001.

      [24] R.Yu, B. Iung and H. Panetto, “A multi-agents based E-maintenance system with case-based reasoning decision support,†Engineering Applications of Ar-tificial Intelligence, vol. 16, no. 4, pp. 321-333, 2003.

      [25] Muller, A.C. Marqueez and B. Iung, “On the concept of e-maintenance: Review and current researchâ€, Reliability Engineering and System Safety, vol. 93, pp. 1165–1187, 2008.

      [26] Ilhan Asilturk, Halit Aslanci, Ugur Ozmen “Machinery monitoring Using Vibration Signal Analysis,†submitted to Mechanical Engineering Department, Konya, Turkey, February, 2017

  • Downloads

  • How to Cite

    Singh, D., Garg, D., Sharma, A., & R. Mishra, V. (2018). Approach for Machine Health Monitoring System of a Machine. International Journal of Engineering & Technology, 7(4.39), 441-446. https://doi.org/10.14419/ijet.v7i4.39.24121

    Received date: 2018-12-16

    Accepted date: 2018-12-16

    Published date: 2018-12-13