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Manivannan, S.
- Prediction of Shielding Effectiveness of Cables used for Automobile Sector: Technical Note
Abstract Views :534 |
PDF Views:150
Authors
Affiliations
1 Dept. of EEE, Dr. M. G. R Educational and Research Institute, IN
2 Centre for Electromagnetics - SAMEER, IN
1 Dept. of EEE, Dr. M. G. R Educational and Research Institute, IN
2 Centre for Electromagnetics - SAMEER, IN
Source
International Journal of Vehicle Structures and Systems, Vol 11, No 1 (2019), Pagination: 33-35Abstract
The automotive industry is gearing for a drastic shift towards the electric vehicles and also leaping for the autonomous vehicles. The functional performance of such autonomous vehicles must be properly ensured. One such kind of disturbance to the proper functioning of the vehicle is Electromagnetic Interference due to presence of various electrical systems. The operating frequency range is increasing due to latest advancement in automobile industry. The future working frequency is going to be 74GHz which falls under extremely high frequency range. So it is inevitable to analyse the electromagnetic interference and emission caused by such futuristic models. The electromagnetic field effect is dependent on the shielding effectiveness. The Electromagnetic Shielding Effectiveness (EMSE) varies with numerous parameters like the type of material, shape of material, size of material etc. The work deals with the modelling of cable and study on shielding effectiveness of the cables used in automotive. The same has to be evaluated with standards test procedures and validated.Keywords
Electromagnetic Interference, Shielding Effectiveness, Automotive, Cables.Full Text
References
- A. Das and V.K. Kothari. 2009. Effect of various parameters on electromagnetic shielding effectiveness of textile fabrics, Indian J. Fibre and Textile Research, 34, 144-148.
- IEEE Standard Method for Measuring the Effectiveness of Electromagnetic Shielding Enclosures. 2006. EMC Society, New York, 39.
- F. Paulis, M.H. Nisanci, A. Orlandi, M.Y. Koledintseve and J.L. Drewniak. 2014. Design of homogeneous and composite materials from shielding effectiveness specifications, IEEE Trans. Electromagnetic Compatibility, 56(2), 343-351. https://doi.org/10.1109/TEMC.2013.2280463.
- Possible effects of Electromagnetic Fields (EMF) on Human Health. 2007. Scientific Committee on Emerging and Newly Identified Health Risks.
- H.W. Ott. 2009. Electromagnetic Compatibility Engg., John Wiley & Sons. https://doi.org/10.-1002/9780470508510.
- T. Nishimura, T. Nakamura, L. Quan, N. Amemiya, and Y. Itoh. 2014. Potential for torque density maximization of HTS induction/synchronous motor by use of superconducting reluctance torque, IEEE Trans. Applied Superconductivity, 24(3), 1-4. https://doi.org/10.1109/TASC.2013.2283238.
- S. Bhuvaneswari and S. Manivannan. 2015. Shielding effectiveness of enclosures - A Review, Int. J. Applied Engg. Research, 10(68), 428-430.
- Warranty Cost Estimation using K-Means Cluster Analysis for Automobile Industry:Technical Note
Abstract Views :504 |
PDF Views:162
Authors
Affiliations
1 Mech. Engg. Dept., Dr. M.G.R Educational and Research Institute, Tamil Nadu, IN
2 Dept. of Computer Sci. and Engg., SRM University, Tamil Nadu, IN
3 Mech. Engg. Dept., Dr. M.G.R Educational and Research Institute, Tamilnadu, IN
1 Mech. Engg. Dept., Dr. M.G.R Educational and Research Institute, Tamil Nadu, IN
2 Dept. of Computer Sci. and Engg., SRM University, Tamil Nadu, IN
3 Mech. Engg. Dept., Dr. M.G.R Educational and Research Institute, Tamilnadu, IN
Source
International Journal of Vehicle Structures and Systems, Vol 11, No 1 (2019), Pagination: 36-38Abstract
When a vehicle under warranty comes for service, the technician identifies the potential fault and the corresponding service is done. From the raw information of customer complaint, the complaint codes are identified and allocation of qualified technician involves considerable man hours and cost per hour for the technician to do the service. Around 1059 vehicles under warranty were studied starting from customer complaint to the study of warranty cost to the manufacturer. In this paper, initially, we present the results of classifying the complaint code master into several classes using K-means cluster analysis and subsequently cluster analysis for a specific component say, water pump assembly was carried out. Then, analysis of cost to the automobile manufacturer on warranty claims are also presented here.Keywords
Automobile, Cluster, Warranty, Estimation, Cost Analysis.Full Text
References
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- S.P. Singh, S.S.P. Shukla, N. Rakesh and V. Tyagi. 2011. Problem reduction in online payment system using hybrid model, Int. J. Managing Information Tech., 3(3), 62-70.
- R. Patidar and L. Sharma. 2011. Credit card fraud detection using neural network, Int. J. Soft Computing and Engg., 1, 32-38.
- M.R. Karim and K. Suzuki. 2005. Analysis of warranty claim data: A literature review, Int. J. Quality and Reliability Management, 22(7), 667-686. https://doi.org/10.1108/02656710510610820
- S. Wu. 2012. Warranty data analysis: A review, Quality and Reliability Engg., 28(8), 795-805. https://doi.org/10.1002/qre.1282
- J.D. Kalbfleisch and J.F. Lawless. 1996. Statistical Analysis of Warranty Claims Data, Product Warranty Handbook, New York, 231-259.
- Warranty Cost Analysis. 2006. Warranty management and product manufacture, Springer Series in Reliability Engg., Springer, London, 2006.
- R. Srinivasan, S. Manivannan and S.P. Devi. 2015. A critical review paper on warranty analysis for fleet industry using data mining techniques, Int. J. Applied Engg. Research, 10(55), 1132-1134.
- R. Srinivasan, S. Manivannan, N. Ethiraj, S.P. Devi and S.V. Kiran. 2016. Modelling an optimized warranty analysis methodology for fleet industry using data mining clustering methodologies with fraud detection mechanism using pattern recognition on hybrid analytic approach, Proc. Computer Science, 87, 322-327. https://doi.org/10.1016/j.procs.2016.06.001.