International Journal of Electrical Engineering

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Virtual Instrumentation Based Comparative Technique for Vibration Analysis and Energy Loss Calculation


Affiliations
1 Department of Instrumentation and Control Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi, Coimbatore, Tamilnadu, India
2 P.A.College of Engineering and Technology Pollachi, Coimbatore, Tamilnadu, India
     

   Subscribe/Renew Journal


This paper proposes a modern approach for acquiring and analyzing vibration signals and to estimate the energy loss effectively during vibrations. The vibration signals acquired from the heavy machines with the help of vibration accelerometer will be transferred to a computer through a Data acquisition card and analysis is being carried out by using LabVIEW. Frequency domain analysis is used to study the nature of the vibrations and to estimate the energy loss during vibration. Comparative study is made with conventional vibration analyzers for performance validation of virtual systems. The performances of identical machines can be compared and steps can be taken to improve the performance of less efficient ones. Web publishing feature has been used to create a centralized virtual instrumentation server to acquire the signals from the sensor through a remote terminal in real time via networking to analyze and evolve recommendations over the network. The testing panel can be easily implemented in any location and if required, can be controlled via Internet or LAN.

Keywords

Data Acquisition, Energy Loss Calculation, Vibration Analysis, Virtual Instrumentation
Subscription Login to verify subscription
User
Notifications
Font Size


  • Abdallah M., Elkeelany O. and Alouani A. T.,2011. “A Low-Cost Stand- Alone Multichannel Data Acquisition, Monitoring, and Archival System With On-Chip Signal Preprocessing” IEEE Trans. Instru. and Measurement, vol. 60, no.8, pp. 2813-2827.

  • Adamo F., Attivissimo F., Cavone G., and Giaquinto N., 2008. “SCADA/HMI systems in advanced educational courses”, IEEE Trans. Instru. and Measurement, vol. 56, no1, pp.4-10.

  • Carbone P., Buglione L., Mari L., and Petri D., 2008. “A comparison between foundations of metrology and software measurement”, IEEE Trans. Instru. and Measurement, vol. 57, no2, pp. 235-341.

  • Depari A., Flammini A., Marioli D., and Andrea Taroni, 2007. “Application of an ANFIS algorithm to sensor data processing” IEEE Trans. Instru. and Measurement, vol. 56, no.1, pp. 75-79.

  • Djurovi´c I., and Stankovi´c LJ., 1999. “A virtual instrument for time– frequency analysis”, IEEE Trans. Instru. and Measurement, vol. 48, no6, pp. 1086-1092.

  • Ferrero A., Salicone S. and Toscani S., 2011. “A fast, simplified frequency-domain interpolation method for the evaluation of the frequency and amplitude of spectral components” IEEE Trans. Instru. and Measurement, vol. 60, no.5, pp. 1579-1587.

  • Ferri G., Guerrini N., Silverii E., and Tatone A., 2008. “Vibration damping using ccii-based inductance simulators”, IEEE Trans. Instru. and Measurement, vol. 57, no5, pp. 904-914.

  • Ghassemi F., Tafazoli S., Peter D. Lawrence and Hashtrudi-Zaad K., 2008. Member, “Design and calibration of an integration-free accelerometer-based joint-angle sensor” IEEE Trans. Instru. and Measurement, vol. 57, no.3, pp. 150-159.

  • Guruswamy V. L., Lang J. and Lee W.S., 2011. “IIR filter models of haptic vibration textures” IEEE Trans. Instru. and Measurement, vol. 60, no1, pp. 93-103.

  • Holman J P, 2004. “Experimental Methods for Engineers”, Seventh Edition, Tata McGraw Hill.

  • HyunCheol Kim and Whoi-Yul Kim, 2011. “Automated inspection system for rolling stock brake shoes” IEEE Trans. Instru. and Measurement, vol. 60, no.8, pp. 2835-2847.

  • Katzourakis D. I., Abbink D. A., Happee R., and Holweg E., 2011. “Steering force feedback for human–machine-interface automotive experiments”, IEEE Trans. Instru. and Measurement, vol. 60, no1, pp.32- 43.

  • Marzi H., 2008. “Modular neural network architecture for precise condition monitoring”, IEEE Trans. Instru. and Measurement, vol. 57, no4, pp.805-812.

  • Park S.Y., Song Y.S., Kim H.J., and Jongsik Park, 2011. “Improved method for frequency estimation of sampled sinusoidal signals without iteration” IEEE Trans. Instru. and Measurement, vol. 60, no.8, pp. 2828- 2834.

  • Saponara S., Casarosa G., Hambloch P., Ciuchi F., Fanucci L., and Sarti B. 2011. “Modeling, sensitivity analysis, and prototyping of low-g acceleration acquisition systems for spacecraft testing and environmentalnoise measurements”, IEEE Trans. Instru. and Measurement, vol. 60, no2, pp. 385-397.

  • Yadav S. K., Tyagi K., Shah B., and Kalra P. K., 2011. “Audio signature-based condition monitoring of internal combustion engine using FFT and correlation approach” IEEE Trans. Instru. and Measurement, vol. 60, no.4, pp. 1217-1226.

  • Zhou J.H., Pang C. K., Zhong Z.W., and Lewis F.L., 2011. “Tool wear monitoring using acoustic emissions by dominant-feature identification”, IEEE Trans. Instru. and Measurement, vol. 60, no2, pp. 547-559.


Abstract Views: 521

PDF Views: 0




  • Virtual Instrumentation Based Comparative Technique for Vibration Analysis and Energy Loss Calculation

Abstract Views: 521  |  PDF Views: 0

Authors

D. Ganeshkumar
Department of Instrumentation and Control Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi, Coimbatore, Tamilnadu, India
T. Manigandan
P.A.College of Engineering and Technology Pollachi, Coimbatore, Tamilnadu, India

Abstract


This paper proposes a modern approach for acquiring and analyzing vibration signals and to estimate the energy loss effectively during vibrations. The vibration signals acquired from the heavy machines with the help of vibration accelerometer will be transferred to a computer through a Data acquisition card and analysis is being carried out by using LabVIEW. Frequency domain analysis is used to study the nature of the vibrations and to estimate the energy loss during vibration. Comparative study is made with conventional vibration analyzers for performance validation of virtual systems. The performances of identical machines can be compared and steps can be taken to improve the performance of less efficient ones. Web publishing feature has been used to create a centralized virtual instrumentation server to acquire the signals from the sensor through a remote terminal in real time via networking to analyze and evolve recommendations over the network. The testing panel can be easily implemented in any location and if required, can be controlled via Internet or LAN.

Keywords


Data Acquisition, Energy Loss Calculation, Vibration Analysis, Virtual Instrumentation

References