A Review of Functional Safety Models for Public Safety Management Systems

Authors

  • S. B. Aanandh Honeywell
  • Dr. Chinmaya Kar Honeywell
  • Dr. Nihal Siddiqui University of Petroleum & Energy Studies

Keywords:

models, SMS, FMEA, STAMP, FRAM, public safety, functional safety

Abstract

This paper reviews various models used for enterprise process management systems and public safety systems. These models include probabilistic functional safety models, accident models such as causal-sequential event-based models, systemic models such as failure mode and effects analysis (FMEA), reliability models, systemic models such as systems-theoretic accident model and processes (STAMP) model and cognitive models, among others. These models, along with their advantages and disadvantages, are discussed in detail. Existing public safety management systems and enterprise process management systems are also compared. Functionally safe communication systems for public safety, including those using wireless telecommunications such as LTE for Public Safety, are also discussed. In addition, this paper also explains some of the evolving legislation regarding managed energy and managed safety for both process and public management systems.

Author Biographies

S. B. Aanandh, Honeywell

S. B. Aanandh completed a bachelor’s degree in electronics and communication engineering from Thiagarajar College of Engineering, Madurai. He is a Certified Functional Safety Engineer for HW & SW Engineering in TUV Rhienland and is pursuing a Ph.D. in Public Safety Communication Systems Design with University of Petroleum and Energy Studies, Dehradun. Aanandh is currently employed with Honeywell Technology Solutions as the Leader for Core Architecture and Re-use Engineering for Automation & Control Solutions, where he leads the initiatives on relevant core architectures, architectural evaluations and systematic design for re-use. He has authored nearly 25 invention disclosures in the areas of life safety, critical infrastructure protection and situational awareness. Aanandh has published two conference journal papers in chaotic cryptography and measurement instrumentation for yarn quality testing. He is also the recipient of Honeywell’s Global Technical Excellence Award.

Dr. Chinmaya Kar, Honeywell

Dr. Chinmaya Kar holds a bachelor’s degree in mechanical engineering, a master’s degree in industrial engineering and management, and a Ph.D. in mechanical engineering. He has 11 years of research experience at various organizations, including Honeywell ACS Advanced Technology Lab, General Electric Global Research, INSA (Lyon, France), Crompton Greaves Limited and IIT Kharagpur, along with seven years of teaching experience. His interests include, among other things, reliability analysis and condition monitoring, as well as data analytics (such as decision support system, signal processing, statistics, etc.). Currently, he is a Honeywell Fellow at Honeywell Technology Solutions, where he is leading initiatives of condition monitoring and the Internet of everything. Dr. Chinmaya is collaborating in various initiatives on products/prototypes such as Asset Manager, Equipment Health Monitoring, Idler Monitoring, Compressor Blade Health Monitoring, etc. He is leading global projects such as WiBRATE (under the European Commmision’s FP7 grant) and Idler Monitoring under these initiatives. Chinmaya has authored nearly 20 publications in various journals and at conferences, holds 13 patents, two provisional patents, three trade secrets and nearly 36 disclosures (reports). He is a recipient of Erasmus Mundus Fellowship from European Commission and High-Value Ph.D. Fellowship from IIT, Kharagpur. He has also received several awards from Honeywell and GE — notably the annual Prolific Innovator award from Honeywell in 2012 and a management award from GE in 2007. He is a reviewer of journals such as IEEE Transaction on Industrial Electronics, Mechanical Systems and Signal Processing, Journal of Sound and Vibration, and Journal of Vibration and Control. He chaired sessions at the International Conference of CM/MFPT 2013, held in Poland. He is a certified vibration analyst Cat III and has certification in Six Sigma DFSS greenbelt. He has delivered a number of invited talks at different organizations.

Dr. Nihal Siddiqui, University of Petroleum & Energy Studies

Dr. Nihal Siddiqui completed his post-graduate work in environmental science and a doctorate in environmental biology. In addition, he also holds an industrial safety and post-graduate diploma in environmental impact assessment. The topic of his research was environmental impact assessment. Dr Siddiqui specializes in the area of environmental pollution, environmental monitoring and control techniques, and disaster management. He is currently associated with the University of Petroleum & Energy Studies, Dehradun, as the head of the Health Safety and Environmental Engineering Department. He was also associated with the Health, Safety and Environment Department of ICEM college, Muscat, Oman University of Central Lancashire, U.K. He has more than 65 research papers to his credit and has participated in several national and international conferences. Dr. Siddiqui has authored two books — Environmental Management Systems and Natural Resources and Handbook on Fire and Safety. Dr. Siddiqui has guided more than 50 M.Tech and seven Ph.D. theses.

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Published

2014-10-01

How to Cite

Aanandh, S. B., Kar, C., & Siddiqui, N. (2014). A Review of Functional Safety Models for Public Safety Management Systems. Journal of System Safety, 50(3), 20–31. Retrieved from https://jsystemsafety.com/index.php/jss/article/view/199

Issue

Vol. 50 No. 3 (2014): Selling the Need for Safety

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Articles

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Copyright (c) 2022 S. B. Aanandh, Dr. Chinmaya Kar, Dr. Nihal Siddiqui

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