*VIRTUAL* – Risk Analysis & Reliability Engineering – Zoom

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Online Risk and Reliability Training

About the Course

The course duration is 2 days and will consist of both theoretical and practical applications of risk and reliability engineering. The course will introduce the fundamentals of Risk analysis and reliability engineering. Quantity risk analysis, basic statistics, distribution of failure, reliability of failure, consequences of failure and monte-carlo simulations (MCS).

On successful completion of this course, you will be able to: 1) identify and analyse the concepts and principals of risk and reliability engineering and their potential applications to different engineering problems. 2) Assess and analyse appropriate approaches to the collection and interpretation of data in the application of risk and reliability engineering methods. 3) Evaluate and select appropriate techniques and tools for qualitative and quantitative risk analysis and reliability assessment. 4) Analyse and evaluate failure distributions, failure likelihood and potential consequences and develop solutions for control/mitigation of risks.

Why should we do a risk and reliability analysis?

• Enable good decision making in the presence of uncertainty.
• Demonstrate that all risks are identified and
appropriately mitigated or reduced (ALARP)
• Moral- risk of death or serious injury
• Legal- comply with regulators. (UK-Health and Safety Executive)
• Economic- profit, return for investors/

Who Should Attend?

This training is suitable for mechanical, process, energy engineers and professionals that want to obtain knowledge on applied aspects of risk and reliability engineering.

PROGRAMME (All timings are in BST(GMT+1))

Day 1

09.00 – 10.30 Lecture 1: Introduction to Risk Analysis

Basic concept of Safety and Risk
Analysis. Definition of Reliability and
Availability and Resilience. Qualitative
And Quantitative Risk Assessment.
Prof Edoardo Patelli

10.30 –10..45 Break

10.45 – 12.15 Lecture 2: Statistical analysis

Statistical analysis: Interpretation of statistical output and data visualization; Introduction to regression modelling techniques.
Dr Srinivas Sriramula

12.15 – 13.15 Break

13.15 – 14.45 Lecture 3: Quantitative Risk Assessment: FMEA,FMECA and HAZOP.

Introduction to the Failure mode, effects, and criticality analysis (FMECA) and Hazard and operability study analysis (HAZOP)
Prof Edorado Patelli

14.45 – 15.00 Break

15.00 – 16.30 Lecture 4: Data analysis and Distribution fitting

Hypothesis testing; goodness of fit distribution tests.
Dr Srinivas Sriramula

Day 2

09:00– 10.30 Lecture 5: Basics of simulation, Monte Carlo simulation
Advantages and limitation of Monte Carlo methods.
Prof Edoardo Patelli

10:30-10:45 Break

10.45– 12.15 Lecture 6: HAZOP and Functional Safety

Hazard and operability study analysis (HAZOP); elements of functional safety analysis
Dr Srinivas Sriramula

12.15 – 13.15 Break

13.15 – 14.45 Lecture 7: Safety integrity levels –
assessment and verification
SIL fundamentals, target risk levels, SIL assessment, Markov processes: basic elements
Dr Srinivas Sriramula

14.45 – 15.00 Break

15.00 – 16.30 Lecture 8: Advanced Monte Carlo

methods for reliability analysis
Important sampling, Line Sampling
and Subset Simulation.
Prof Edoardo Patelli


Dr Srinivas Sriramula

Dr Srinivas Sriramula is currently a Senior Lecturer at the University of Aberdeen. Dr Sriramula specialises in technical safety computations and has over 15 years research experience in developing uncertainty quantification schemes for engineering systems. To date he has participated in a number of collaborative research projects on asset risk, reliability and maintenance modelling, funded by InnovateUK, International Government agencies, Industrial partners, and the Lloyd’s Register Foundation (LRF).
Dr Sriramula is a Chartered Engineer (IMechE) and currently coordinates the MSc in Safety and Reliability Engineering (including for Oil&Gas), MSc Subsea Engineering and MSc Offshore Engineering at the University of Aberdeen.

Prof Edoardo Patelli

Edoardo Patelli is a Professor in Risk and Uncertainty and head of the Centre for Intelligent Infrastructure, at the Department of Civil and Environmental Engineering, University of Strathclyde. Before moving to the University of Strathclyde in 2019, Prof Patelli was the deputy director of the Institute for Risk and Uncertainty and co-director of the Centre for Doctoral Training in “Risk and Uncertainty” at University of Liverpool. He is also the Chair of the Technical Committee on Simulation for Safety and Reliability Analysis for the European Safety and Reliability Association (ESRA). Patelli is the principal investigator of the EPSRC projects in Resilience modelling for improved nuclear safety (EP/R020558/1) and Machine learning on- line monitoring tools (EP/M018415/1). He is also CoI on the NERC project Building UK climate resilience through bridging the qualitative-quantitative data divide (NE/S016961/1), the ESRC project “Informed mining: risk reduction through enhanced public and institutional risk awareness (IM AWARE)” – (ES/T003537/1) and “Efficient reliability analysis of complex systems”, German Research Foundation (Projekt number 335796111). Patelli has published more than 250 peer-reviewed publications in leading International journals and in Proceedings of International Conferences and 4 book chapters. He has supervised more than 25 PhD students on site and in collaboration with international partners (e.g. Dalian University and NTHU, Hannover and Grenoble). He is a guest-editor on International journals (e.g. International Journal of Reliability and Safety and Structural Safety) and editorships Springer’s “Encyclopaedia of Earthquake Engineering”. He organised multi-disciplinary international conferences in risk and vulnerability (ASCEICVRAM-ISUMA 2014), and probabilistic analyses (e.g. IPW2015, REC2018). He is also the Chair of the Technical Committee of the 2019 European Safety and Reliability Conference (ESREL) and member of the board editor of the ASCE-ASME journal of Risk and Uncertainty. Dr. Patelli is leading an interdisciplinary research group focused on developing and apply efficient and robust computational tools for Risk, Safety and Uncertainty Quantification across different sectors (Nuclear, Energy, Aerospace, Civil, Environmental) able to deal with scarce data and vagueness of information. Recent research interests include human reliability analysis and interaction with intelligent and autonomous systems. development of robust artificial neural networks and on-line diagnostic tools based on machine learning for the analysis and reliability of safety critical systems. Particular emphasisis on the development of resilience framework of power networks and smart grids as well the development of tools for decision making under severe uncertainty.


Duration: 2 Days

Cost: £695 + Vat

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Scheduled Courses:

    DateCourse NameLocationPrice (Excluding VAT)Book
    13 Jun - 14 Jun*VIRTUAL* – Risk Analysis & Reliability Engineering – ZoomOnline - Remote£695Enquire Now