JPEE  Vol.3 No.4 , April 2015
Analysis and Applications of the Measurement Uncertainty in Electrical Testing
Abstract: Recently, uncertainty measurement is more and more recognizable in modern data management, conformity assessment, and laboratory accreditation system because of its importance. In this paper, a set of reasonable probability explanations are introduced and an effective method is pro- posed to quantify the assessment indices for the uncertainty measurement of electrical testing laboratory. First of all, the influence from uncertainty factors during the test process is taken into account. With the use of ISO/IEC Guide 98-3 standard and probability theory, the index and model for the measurement uncertainty assessment of a laboratory is then derived. From the simulation results of safety testing, laboratory uncertainty measurement assessment activity for actual electrical appliances, and the confirmation of Monte Carlo simulation method, the appropriateness and correctness of proposed method are verified.
Cite this paper: Wang, H. (2015) Analysis and Applications of the Measurement Uncertainty in Electrical Testing. Journal of Power and Energy Engineering, 3, 297-305. doi: 10.4236/jpee.2015.34040.

[1]   Taiwan Accreditation Foundation. Data Area Laboratory Accreditation.

[2]   Bureau of Standards, Metrology & Inspection, M.O.E.A. Commodity Inspection Plan Designated Laboratory Certification Services.

[3]   Bureau of Energy, Ministry of Economic Affairs. Energy Efficiency Testing Laboratory Certification Program.

[4]   National Communications Commission. Information Technology Security Testing Laboratory Accreditation Service Plan.

[5]   ISO 10012 (2003) Measurement Management Systems—Requirements for Measurement Processes and Measuring Equipment.

[6]   ISO/IEC17025 (2005) General Requirements for the Competence of Testing and Calibration Laboratories.

[7]   ISO/IEC Guide 98-3 (2008) Uncertainty of Measurement—Part 3, Guide to the Expression of Uncertainty in Measurement.

[8]   Wang, Z., Liu, Z., Xia, T. and Zhulian, Q. (2008) Uncertainty Evaluation and Measurement Error. Science Press.

[9]   Ridler, N., Lee, B., Martens, J. and Wong, K. (2007) Measurement Uncertainty, Traceavility, and the GUM. IEEE Microwave Magazine on Microwave Magazine, 8, 44-53.

[10]   Giordani, A. and Mari, L. (2012) Measurement, Models, and Uncertainty. IEEE Transactions on Instrumentation and Measurement, 61, 2144-2152.

[11]   Leon-Garcia, A. (1994) Probability and Random Processes for Electrical Engineering. Addison-Wesley.

[12]   Chang, G.W., Wang, H.L. and Chu, S.Y. (2007) A Probabilistic Approach for Optimal Passive Harmonic Filter Planning. IEEE Transactions on Power Delivery, 22, 1790-1798.

[13]   Wang, H.L. (2006) Research and Test Activities Interval Estimation Method Applied in the Field of Electrical Capacity. The 2006 Conformity Assessment and Certification Seminar, May.

[14]   Rubinstein, R.Y. (1981) Simulation and the Monte Carlo Method. Addison-Wesley.

[15]   Leinhos, J. and Arz, U. (2008) Monte-Carlo Analysis of Measurement Uncertainties for On-Wafer Thru-Reflect-Line Calibrations. IEEE Transactions on Microwave Symposium Digest, 22, 33-36.