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M. Tuan HUYNH

ENSEIGNANT CHERCHEUR

Contact details

Address
Computer Science and Digital Society (LIST3N) laboratory, Troyes University of Technology, Troyes, France
Phone
0325718532
Fax
+33 3 25 71 56 49
Office
G108
Email
tuan.huynh@utt.fr
Personal Website
https://recherche.utt.fr/computer-science-and-digital-society-list3n/tuan-huynh

Personal Websites: google scholar, researchgate

Opportunity
Opportunity

I usually have one opening every year for PhD students. If you are someone who likes research and are interested in some of the research topics listed below, please write to me with your CV and research interests.

 

Brief Biography

(Khac) Tuan HUYNH is an associate professor of  Control,  Reliability  and  Maintenance  Engineering at the Troyes University of Technology (UTT), France, and is member of the Computer Science and Digital Society (LIST3N) laboratory, Systems Modeling and Dependability Group. He was born in Hue city, Vietnam, on November 22, 1984. In 2007, he received the B.Eng. degree in Electrical, Electronics & Telecommunication from the Hochiminh City University of Technology, Vietnam. He received the M.S. and Ph.D. degrees in System Safety and Optimization from the UTT, France in 2008 and 2011 respectively. His research interests include stochastic degradation modeling of control systems, prognostic and health management techniques, maintenance decision-making, optimization and evaluation, and their related applications. He has published articles in journals such as IEEE Transactions on Reliability; IEEE Transactions on Systems, Man and Cybernetics: Systems; Reliability Engineering & System Safety; European Journal of Operational Research; Journal of Risk and Reliability; International Journal of Production Research, and in many international and national conferences. One of his papers has received First Place in the 2010 Tom Fagan Reliability and Maintainability Symposium Student Paper Competition. He is an Associate Editor of IEEE Access.


Teaching Activities and Responsibility

Teaching at the Troyes University of Technology, France

  • Industrial Engineering department, Operational safety, Risks and Environment specialization, since 09/2008
  • Control and Computer Engineering department, since 09/2016

Common Core Curriculum

  • Basic electronics
  • Mathematics: Basic mathematics for engineers (Responsible); Mathematical tools for engineers; Linear algebra
  • Algorithm
  • French for mathematics courses

Majors

  • Automatic control of industrial systems (Responsible)
  • Linear control (Responsible)
  • Reliability engineering
  • Semiconductors and materials for advanced technologies
  • Systemic and systems dynamics

Responsability

  • Head of Control and Computer Engineering program, since 07/2020
  • In charge of international student mobility for Control and Computer Engineering program, 10/2017 - 07/2020
  • Elected member of the Documentary Council of Troyes University of Technology, four-year term since 05/2019
 

Research Activities

Doing research at the Computer Science and Digital Society (LIST3N) laboratory, Systems Modeling and Dependability Group, Troyes University of Technology, France, since 09/2008.


Research Topics

  • Stochastic degradation modeling of systems and structures
  • Systems reliability modeling and lifetime prognosis
  • Condition indices assessment for maintenance decision-making
  • Predictive maintenance policies: health monitoring, robustness and performance assessment and optimization
  • Stochastic approach for automatic control
  • Reliability and maintenance of production systems in the context of Industry 4.0
  • Prognosis and predictive maintenance of dynamic systems
  • Reinforcement learning for intelligent autonomous prescriptive maintenance systems

Supervision & Funding

  • Ph.D.: Hajar CHERKAOUI, "Towards reliable decision-making support in condition-based maintenance", Département de l'Aube: ~93k€, Ph.D. thesis defense on 21/12/2017, current position: RAMS Research Engineer at Assystem.
  • Ph.D.: Tran Minh Hao LA, "Stochastic modeling of degradation and predictive maintenance of dynamic systems in s-plan", Ministry: ~93k€, Ph.D. thesis defense on 01/10/2020, current position: RAMS Research Engineer/Data Scientist at RATP.
  • Ph.D.: Nourelhouda AZELI, "Predictive maintenance models for geographically dispersed production systems", 50% Ministry + 50% FEDER: ~93k€, Ph.D. thesis defense on 22/09/2022.
  • Ph.D.: Yufei GONG, "Joint modeling of predictive maintenance and automatic control of dynamic systems", 100% CSC: ~54k€, 10/2020 - 04/2024.
  • Ph.D.: Quang Khai TRAN, "Towards an Intelligent Autonomous Prescriptive Maintenance System for Cyber-Physical Systems with Degradation in Context of Industry 4.0", 50% GRAND EST region + 50% Ministry : ~93k€, 10/2022 - 10/2025.
  • M.S.: Son Tung MAI, "Predictive maintenance for systems subject to multiple dependent degradation processes: failure mechanism modeling and construction of probabilistic indicators for maintenance decision-making", ROSAS department: ~3.6k€, 02/2012 - 07/2012.
  • M.S.: Minh Tam NGUYEN, "Analysis of deteriorating control systems and remaining useful lifetime prognosis", M2S group: ~3.6k€, 02/2016 - 07/2016.
  • M.S.: Xingyi LI, "Modèle de maintenance prescriptive intelligente pour l’industrie 4.0", "Stage en labo" project: ~3.6k€, 02/2022 - 07/2022.
  • M.S.: Togo Jean Yves KIOYE, "Détection d'anomalies dans un contexte de maintenance prédictive", SOPREMA project: ~3.6k€, 04/2022 - 09/2022.

Awards & Projects

  • First Place in the 2010 Tom Fagan Reliability & Maintainability Symposium Student Paper Competition at the 56th Annual Reliability & Maintainability Symposium (RAMS2010), January 25-28, 2010, San Jose, CA, USA.
  • AMORE project, LabEx PERSYVAL-lab: "Advanced MOdelling for Reliability and maintenance Evaluation".
  • IRSDI project, PGMO: "From Monitoring Data to Predictive Maintenance fora Guaranteed Service Level on a Fleet".

Other International Activities

  • Organization commitee of the 6th International Conference on Accelerated Life Testing and Degradation models (ALT2016), June 22-24, 2016, Troyes, France
  • Scientific committee of the International Conference on Advanced Engineering - Theory and Applications 2016 (AETA2016), December 08-10, 2016, Busan, Korea.
  • Chair of session at the 1st International Conference on Applied Mathematics in Engineering and Reliability (ICAMER2016), May 04-06, 2016, Hochiminh-city, Vietnam.
  • Scientific committee of the International Conference on Advanced Engineering - Theory and Applications 2017 (AETA2017), December 07-09, 2017, Hochiminh-city, Vietnam.
  • Scientific committee of ESREL 2019 - European Safety and Reliability Annual Conference, September 22-26, 2019, Hannover, Germany.
  • Chair of "Prognostics and System Health Management" session at the ESREL 2019 - 31st European Safety and Reliability Annual Conference, September 19-23, 2021, Angers, France.

Editor & Referee

  • Associate Editor of IEEE Access
  • Referee for
    • Reliability Engineering & System Safety
    • IEEE Transaction on Systems, Man and Cybernetics: Systems
    • European Journal of Operational Research
    • Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
    • Applied Mathematics and Computation
    • Computers & Industrial Engineering
    • Eksploatacja I Niezawodnosc - Maintenance and Reliability
    • IEEE Transactions on Industrial Informatics
    • Quality and Reliability Engineering International
    • PSAM11/ESREL 2012 - International Conference on Probabilistic Safety Assessment and Management
    • ESREL 2015 - European Safety and Reliability Annual Conference
    • ESREL 2018 - European Safety and Reliability Annual Conference
    • ESREL 2019 - European Safety and Reliability Annual Conference

Illustrative Research Work

 

Predictive Maintenance Modeling for Vehicle Shock Absorbers Subject to Gradual Damage of Spring and Damper

 
Vehicule
Vehicule
output
output

(Figures adapted from MathWorks File Exchange)

The problem is to determine inspection period and units (spring or damper) to be replaced to minimize the long-run maintenance cost rate.

 
  • Periodic inspection of shock absorbers output by applying step input
Monitoring
Monitoring
  • Construction of degradation index & definition of failure for shock absorbers based on their root location in s-plan
DegradationIndex
DegradationIndex
  • Stochastic degradation modeling by using extended Gamma process and generalized moment method for parameters estimation
DegradationModeling
DegradationModeling
  • Remaining useful life prognosis using probabilistic computation & validation by Monte Carlo simulation
Prognostic
Prognostic
  • Elaboration of predictive maintenance policy for shock absorbers using control-limit decision rules in s-plan
Policy
Policy
  • Probabilistic assessement of stationary degradation behavior & maintenance cost evaluation based on Markov renewal theroy
MaintenanceEvaluation
MaintenanceEvaluation
  • Maintenance cost optimization using the generalized pattern search algorithm to determine the optimal predictive maintenance model
Optimization
Optimization

Selected publications

Peer-reviewed articles

  1. Huynh, K. T., Vu, H. C., Nguyen, T. D., & Ho, A. C. A predictive maintenance model for k-out-of-n:F continuously deteriorating systems subject to stochastic and economic dependencies. Reliability Engineering & System Safety, vol. 226, pp. 108671, 2022.
  2. Vu, H.C., Grall, A., Fouladirad, M., and Huynh, K.T. A predictive maintenance policy considering the market price volatility for deteriorating systems. Computers & Industrial Engineering, vol. 162, pp. 107686, 2021.
  3. Huynh, K.T. An adaptive predictive maintenance model for repairable deteriorating systems using inverse Gaussian degradation process. Reliability Engineering & System Safety, vol. 213, pp. 107695, 2021.
  4. Langeron, Y., Huynh, K.T., and Grall, A. A root location-based framework for degradation modeling of dynamic systems with predictive maintenance perspective. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, vol. 235, no 2, pp. 253-367, 2021.
  5. Huynh, K.T. A Hybrid Condition-Based Maintenance Model for Deteriorating Systems Subject to Nonmemoryless Imperfect Repairs and Perfect Replacements. IEEE Transactions on Reliability, vol. 69, no 2, pp. 781-815, 2020.
  6. Huynh, K.T., and Grall, A. A condition-based maintenance model with past-dependent imperfect preventive repairs for continuously deteriorating systems. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, vol. 234, no 2, pp. 333-358, 2020.
  7. Huynh, K.T. Modeling past-dependent partial repairs for condition-based maintenance of continuously deteriorating systems. European Journal of Operational Research, vol. 280, no 1, pp. 152-163, 2020.
  8. Huynh, K.T., Grall, A. and Bérenguer, C. A parametric predictive maintenance decision-making framework considering improved system health prognosis precision. IEEE Transactions on Reliability, vol. 68, no. 1, pp. 375-396, 2019.
  9. Nguyen, K.T.P., Do, P., Huynh, K.T., Bérenguer, C. and Grall, A. Joint optimization of monitoring quality and replacement decisions in condition-based maintenance. Reliability Engineering & System Safety, vol. 189, pp. 177-195, 2019.
  10. Cherkaoui, H., Huynh, K.T. and Grall, A. Quantitative assessments of performance and robustness of maintenance policies for stochastically deteriorating production systems. International Journal of Production Research, vol. 56, no. 3, pp. 1089-1108, 2018.
  11. Huynh, K.T., Grall, A. and Bérenguer, C. Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking. Reliability Engineering & System Safety, vol. 159, pp. 237-254, 2017.
  12. Huynh, K.T., Barros, A. and Bérenguer, C. Multi-level Decision-Making for Predictive Maintenance of k-out-of-n:F Deteriorating Systems. IEEE Transactions on Reliability, vol. 64, no. 1, pp. 94-117, 2015.
  13. Huynh, K.T., Castro, I.T.,  Barros, A. and Bérenguer, C. On the use of mean residual life as a condition index for condition-based maintenance decision-making. IEEE Transactions on Systems, Man, and Cybernetics : Systems. Vol. 44(7), pp. 877–893, 2014.
  14. Huynh, K.T., Barros, A. and Bérenguer, C. Adaptive condition-based maintenance decision framework for deteriorating systems operating under variable environment and uncertain condition monitoring. Procedings of the Institution of Mechanical Engineers, Part O, Journal of Risk and Reliability, vol. 226, no. 6, pp. 602-623, 2012.
  15. Huynh, K.T., Barros, A. and Bérenguer, C. Maintenance decision-making for systems operating under indirect condition monitoring: value of online information and impact of measurement uncertainty. IEEE Transactions on Reliability, vol. 61, no. 2, pp. 410-425, 2012.
  16. Huynh, K.T., Castro, I.T.,  Barros, A. and Bérenguer, C. Modelling age-based maintenance strategies with minimal repais for systems subject to competing failure modes due to degradation and shocks. European Journal of Operational Research, vol. 218, no. 1, pp. 140-151, 2012.
  17. Huynh, K.T.,  Barros, A. Castro, I.T., and Bérenguer, C. A periodic inspection and replacement policy for systems subject to competing failure modes due to degradation and traumatic events. Reliability Engineering & System Safety, vol. 96, no. 4, pp. 497-508, 2011.

Proceedings with peer review

  1. Gong, Y., Huynh, K. T., Langeron, Y., & Grall, A. Health Indices Construction for Stochastically Deteriorating Feedback Control Systems. In International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, Springer, Cham, pp. 483-494, 2022.
  2. Huynh, K.T., Langeron, Y. and Grall, A. Degradation Modeling and RUL Estimation of Deteriorating Systems in S-Plane. IFAC-PapersOnline, vol. 50(1), pp. 12249-12254, 2017.
  3. Huynh, K.T., Barros, A., and Bérenguer, C. On the Opportunistic Predictive Maintenance Decision-Making for k-out-of-n:F Deteriorating Systems. In Proc. of the 19th ISSAT International Conference on Reliability and Quality in Design - RQD 2013. Honolulu, Hawaii, USA, 05-07 August, 2013, pp. 265-269.
  4. Huynh, K.T., Mai, S.T., Grall, A. and Bérenguer, C. Towards a reliability condition index for condition-based maintenance decision-making. In Proc. of the 2nd International Conference on Control and Fault-Tolerant Systems (SysTol'13). Nice, France, 09-11 october, 2013, pp. 826-831.
  5. Huynh, K.T., Barros, A., and Bérenguer, C. A Reliability-based Opportunistic Predictive Maintenance Model for k-out-of-n Deteriorating Systems. Chemical Engineering Transactions, vol. 33, pp. 493–498, 2013.
  6. Huynh, K.T., Castro, I.T., Barros, A. and Bérenguer, C. On the Construction of Mean Residual Life for Maintenance Decision-Making. In Proc. 8th International Federation of Automatic Control (IFAC) Symposium SAFEPROCESS 2012. Mexico City, Mexico, 29–31 August, 2012, pp. 654– 659.
  7. Huynh, K.T., Barros, A., Bérenguer, C and Castro, I.T. Value of Condition Monitoring Information for Maintenance Decision-Making. In Proc. Annual Reliability & Maintainability Symposium. San Jose, California, USA, 25-28 January, 2010, pp. 543–548.
Date of update 28 septembre 2023