TC-32: Fault Tolerant Measurement Systems
The goals of this Technical Committee are to promote the research activities to cover all aspects of theory and practice of fundamentals:
- reliable computing for instrumentation and measurement;
- reliable architecture for instrumentation;
- reliable computing for instrumentation and distributed sensors in a harsh environment.
TC-32 membership is free and open to everyone who is interested in providing reliable computing for Instrumentation and Measurement. We have members from a number of countries such as the United States of America, Canada, Australia, New Zealand, Italy, and Malaysia.
Our activities include promoting instrumentation and measurement fault-tolerant technology via publications, presentations, conference organisation, seminars, developing IEEE standards, and providing educational courses for students and engineering specialists.
We are looking for members from the industry as well as academia who are interested in participating in our activities.
To join or contact TC-32, please email (Click to show email).
The TC-32 webpage now provides the platform for TC-32 members to share the updates of their past, current, and future work towards Guidelines & Standards as long as these are not bounded by existing confidentiality agreements. The details of the project may include project title, collaborators, project summary, publications, achievements such as awards, etc., however, the list is not exhaustive. Similarly, open access tools or software developed by the members can also be promoted under the Free Tools and Software tab. It is envisioned that these efforts could further promote the research projects of TC-32 members.
To share your projects on TC-32 website, please contact (Click to show email) and (Click to show email).
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2015
TC-32 Documents
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2025 TC-32 Annual Report
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2024 TC-32 Annual Report
Projects
Ongoing Projects
The project aims for propose novel frameworks for the evaluation and expression of measurement uncertainty using 1) propagation of moments; and 2) method of moments.
Arvind Rajan
Ye Chow Kuang
Melanie Po-Leen Ooi
Serge N. Demidenko
Method of Moments, Maximum Entropy, Pearson Distribution, Propagation of Moments, Mellin Transform, Taylor Series
Journal
- A. Rajan, Y.C. Kuang, M. P.L. Ooi, S. Demidenko, and H. Carstens “Moments and Maximum Entropy Method for Expanded Uncertainty Estimation in Measurements”
IEEE Access, vol. 6, pp. 4072 - 4082, 2018. - Y.C. Kuang, A. Rajan, M.P.L. Ooi, and S.N. Demidenko, "Measured Quantity Value Estimator for Multiplicative Non-linear Measurement Models"
IEEE Transactions on Instrumentation and Measurement, vol. 66, pp. 715 – 722, 2017. - A. Rajan, M.P.L. Ooi, and S.N. Demidenko, "Benchmark Test Distributions for Expanded Uncertainty Evaluation Algorithms"
IEEE Transactions on Instrumentation and Measurement, vol. 65, pp. 1022-1034, 2016. - A. Rajan, M.P.L. Ooi, Y.C. Kuang, and S.N. Demidenko, "Analytical Standard Uncertainty Evaluation Using Mellin Transform"
IEEE Access, vol. 3, pp. 209-222, 2015. - Y.C. Kuang, A. Rajan, M.P.L. Ooi, and T.C. Ong, "Standard uncertainty evaluation of multivariate polynomial"
Measurement, vol. 58, pp. 483-494, 2014.
Conference
- A. Rajan, Y.C. Kuang, M.P.L. Ooi, and S. Demidenko, "Moments and Maximum Entropy Method for Expanded Uncertainty Estimation in Measurements"
Instrumentation and Measurement Technology Conference (I2MTC), 2017 IEEE International, 2017. - Y.C. Kuang, M.P.L. Ooi, A. Rajan, and S. Demidenko, "Performance comparison between expanded uncertainty evaluation algorithms"
Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International, 2015, pp. 1729-1734. - A. Rajan, Y.C. Kuang, M.P.L. Ooi, and S. Demidenko, "Standard Uncertainty estimation on polynomial regression models"
Sensors Applications Symposium (SAS), 2014 IEEE, 2014, pp. 207-212. - Y.C. Kuang, M.P.L. Ooi, and A. Rajan, "Analytic standard uncertainty evaluation of polynomial in normal/uniform random variables"
Smart Instrumentation, lieasurement and Applications (ICSIMA), 2013 IEEE International Conference on, pp. 1-5, 2013.
The project aims for propose a novel semi-analytical robustness and reliability analysis framework using method of moments. The frameworks will incorporate surrogate modelling and distribution fitting methods for efficient and dependable analysis at the same time.
Arvind Rajan
Ye Chow Kuang
Melanie Po-Leen Ooi
Serge N. Demidenko
Statistics, Reliability, Robust Design, Reliability Engineering, Method of Moments, Multidisciplinary Design Optimization, Robustness, Nonlinear Optimization, Mellin Transform
Journal
- A. Rajan, A. Garg, V. Vijayaraghavan, Y.C. Kuang, and M.P.L. Ooi, “Parameter Optimization of Polymer Electrolyte Membrane Fuel Cell using Moment-based Uncertainty Evaluation Technique”
Journal of Energy Storage, vol. 15, pp. 8–16, 2018. - A. Rajan, V. Vijayaraghavan, M.P.L. Ooi, A. Garg, and Y.C. Kuang, “A Simulation-based Probabilistic Framework for Lithium-ion Battery Modelling”
Measurement, vol. 115, pp. 87–94, 2018. - S. Paul, A. Rajan, J.H. Chang, Y.C. Kuang, and M.P.L. Ooi, "Parametric Design Analysis of Magnetic Sensor Based on Model Order Reduction and Reliability-based Design Optimization"
IEEE Transactions on Magnetics, vol. 54, 2017. - H. Carstens, X. Xia, S. Yadavalli, and A. Rajan, "Efficient Longitudinal Population Survival Survey Sampling for the Measurement and Verification of Lighting Retrofit Projects"
Energy and Buildings, vol. 150, pp. 163–176, 2017. - A. Rajan, Y.C. Kuang, M.P.L. Ooi, and S.N. Demidenko, "Reliability-based Design Optimisation of Technical Systems: Analytical Response Surface Moments Method"
IET Journal of Engineering, 2017. - A. Rajan, Y.C. Kuang, M.P.L. Ooi, and S.N. Demidenko, "Efficient analytical moments for the robustness analysis in design optimisation"
IET Journal of Engineering, 2016.
Magazine
A. Rajan, Y.C. Kuang, M.P.L. Ooi, and S.N. Demidenko, “Measurement Uncertainty Evaluation: Could It Help to Improve Engineering Design?”
Accepted for publication - IEEE Intrumentation and Measurement Magazine.
Conference
- R. Zhang, A. Rajan, Y.C. Kuang, M.P.L. Ooi, and S. Demidenko, "Towards implementing uncertainty propagation in probabilistic floating-point computation error bounding"
Instrumentation and Measurement Technology Conference (I2MTC), 2018 IEEE International, pp. 1-6, 2018. - A. Rajan, Y.C. Kuang, M. P.L. Ooi, S. Demidenko, and T. Egbelakin, "Application of moment-based measurement uncertainty evaluation to reliability analysis of structural systems"
Instrumentation and Measurement Technology Conference (I2MTC), 2018 IEEE International, pp. 1-6, 2018. - A. Rajan, Y.C. Kuang, M.P.L. Ooi, and S. Demidenko, "Moment-based Measurement Uncertainty Evaluation for Reliability Analysis in Design Optimization"
Instrumentation and Measurement Technology Conference (I2MTC), 2016 IEEE International, pp. 1177-1182, 2016.
Completed Projects
The continuing shortage of qualified engineers in the test, failure analysis, instrumentation and measurement areas in the electronic industry and associated R&D organizations makes it hard to verify and improve the quality and functionality of the fabricated integrated circuits as well as in refining the manufacturing process so to reach a required high yield. Addressing the need, an integrated specialist education program in the Electronic Test Technology was developed and implemented by a team of university academics in cooperation and with support from management and engineering specialists of several leading electronic companies. This project has developed contents of the teaching and training components, and also outlines the designed laboratory systems.
Moi-Tin Chew
Ye Chow Kuang
Melanie Po-Leen Ooi
Serge N. Demidenko
Electronic Testing; Semiconductor Manufacturing; Engineering Education; Course Development; Test Equipment
Conference
S. Demidenko, M.P.L. Ooi, M.T. Chew, Y.C. Kuang, and A. Rajan, "Addressing Emerging Needs of Hi-Tech Industry: Collaborative Engineering Program in Electronic Testing, Instrumentation and Measurement" Submitted for publication.