# Risk-based Engineering

- Institution: Homi Bhabha National Institute
- Department: Multidisciplinary
- Teacher: Prof. Prabhakar V Varde
- Level: Graduate
- Language: English
- Subjects: Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/121101490)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/121101490)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Considerations of risk reduction to minimum and acceptable level is integral to design, operations and regulation of complex engineering systems. Traditionally, risk and reliability aspects were addressed employing qualitative and experienced-based approaches that, at times, tends to be arbitrary as they were not based on quantitative metrics of risk and reliability.

This course on Risk-based engineering presents an integrated model where the deterministic and probabilistic approaches compliment and supplement each other towards providing a more holistic framework for safety assessment and management for complex engineering systems. Further, this framework extends the science of probabilistic risk assessment and reliability engineering to include the state-of-the-art in physics-of-failure, prognostics & health management, human reliability and uncertainty prediction to make this approach more rational based. This model is expected to address the requirement of real-time advanced engineering system, more effectively.

This course is based on a book entitled ‘Risk-based Engineering’ co-authored by Prabhakar V Varde and Michael Pecht, published by Springer in 2018. The main objective was to extend the current state-of-the art in risk-informed approach to risk-based engineering. Risk-based engineering is an applied subject that has been developed based on, over 20 years of experience in the area of risk and reliability and its applications to complex engineering systems. Risk-based engineering is an interdisciplinary subject and the lectures provides concepts, fundamentals, techniques, methods, and complex modelling requirements such that, risk and reliability targets can be achieved for engineering systems.

Intended audience: Ph. D. students and researchers in engineering sciencesDisclaimerThis course on Risk-based Engineering offered through the NPTEL platform, where the objective is to share the experience and expertise of the instructor with scholars, working…

## Lectures

1. [Lecture 1 : RBE: Background and Overview](https://invisiblenetwork.ai/learn/nptel/121101490/986cdcd7923b) (YouTube)
2. [Lecture 2 : RBE Framework](https://invisiblenetwork.ai/learn/nptel/121101490/aecbcf469338) (YouTube)
3. [Lecture 3 : RBE- Framework continuation and Major Procedural Elements](https://invisiblenetwork.ai/learn/nptel/121101490/d3344d7e9d55) (YouTube)
4. [Lecture 4 : RBE-Major Procedural Elements Continued….](https://invisiblenetwork.ai/learn/nptel/121101490/3ba995a4bf10) (YouTube)
5. [Lecture 5 : Risk Characterization](https://invisiblenetwork.ai/learn/nptel/121101490/b58386aa348f) (YouTube)
6. [Lecture 6 : Reliability Characterization and Probability Distributions - Discrete Distribution](https://invisiblenetwork.ai/learn/nptel/121101490/52188d051c69) (YouTube)
7. [Lecture 7 : Probability Distributions - Continuous Distribution](https://invisiblenetwork.ai/learn/nptel/121101490/ad9797419697) (YouTube)
8. [Lecture 8 : Statistical Estimation in Probability Theory](https://invisiblenetwork.ai/learn/nptel/121101490/4f2c4ab074b0) (YouTube)
9. [Lecture 9 : Probability and Confidence Interval](https://invisiblenetwork.ai/learn/nptel/121101490/a4acca713716) (YouTube)
10. [Lecture 10 : Regression Analysis](https://invisiblenetwork.ai/learn/nptel/121101490/700234d4599e) (YouTube)
11. [Lecture 11 : Life Prediction: Introduction](https://invisiblenetwork.ai/learn/nptel/121101490/f17e752186e1) (YouTube)
12. [Lecture 12 : Life Prediction – Related Aspects](https://invisiblenetwork.ai/learn/nptel/121101490/6071927ca04c) (YouTube)
13. [Lecture 13 : Life Prediction and Assessment Approaches](https://invisiblenetwork.ai/learn/nptel/121101490/fc4ad4b10d00) (YouTube)
14. [Lecture 14 : Life Prediction : Accelerated Screening & Life Testing](https://invisiblenetwork.ai/learn/nptel/121101490/ebdb65f854c9) (YouTube)
15. [Lecture 15 : Probabilistic Fracture Mechanic Approach](https://invisiblenetwork.ai/learn/nptel/121101490/a670a0c472a0) (YouTube)
16. [Lecture 16 : Introduction & Reliability Block Diagram (RBD)](https://invisiblenetwork.ai/learn/nptel/121101490/9a8c680e2dc2) (YouTube)
17. [Lecture 17 : RBD - System Redundancies](https://invisiblenetwork.ai/learn/nptel/121101490/ca2413eb4623) (YouTube)
18. [Lecture 18 : Fault Tree Analysis](https://invisiblenetwork.ai/learn/nptel/121101490/466f8be25430) (YouTube)
19. [Lecture 19 : Fault Tree Analysis Conti… & Event Tree Analysis](https://invisiblenetwork.ai/learn/nptel/121101490/f46928c6a7e1) (YouTube)
20. [Lecture 20 : Markov Model](https://invisiblenetwork.ai/learn/nptel/121101490/330ad706b06f) (YouTube)
21. [Lecture 21 : Dynamic Fault Tree](https://invisiblenetwork.ai/learn/nptel/121101490/a9cc5112df23) (YouTube)
22. [Lecture 22 : Dynamic Event Tree & Binary Decision Diagram](https://invisiblenetwork.ai/learn/nptel/121101490/71be9584137c) (YouTube)
23. [Lecture 23 : Common Cause Failure](https://invisiblenetwork.ai/learn/nptel/121101490/ac560c249fa3) (YouTube)
24. [Lecture 24 : Importance & Sensitivity Analysis](https://invisiblenetwork.ai/learn/nptel/121101490/f2903eb98acf) (YouTube)
25. [Lecture 25 : Maintainability](https://invisiblenetwork.ai/learn/nptel/121101490/08d87edabb80) (YouTube)
26. [Lecture 26 : PRA-Introduction](https://invisiblenetwork.ai/learn/nptel/121101490/99ae38cc374c) (YouTube)
27. [Lecture 27 : PRA-Organizational and Quality Aspects](https://invisiblenetwork.ai/learn/nptel/121101490/f17c382c041f) (YouTube)
28. [Lecture 28 : PRA-Qualitative Modeling & Analysis](https://invisiblenetwork.ai/learn/nptel/121101490/27fb2f92c037) (YouTube)
29. [Lecture 29 : PRA-Quantification of the PRA model](https://invisiblenetwork.ai/learn/nptel/121101490/366280530a25) (YouTube)
30. [Lecture 30 : Monte Carlo Simulation, Root Cause Analysis](https://invisiblenetwork.ai/learn/nptel/121101490/f809a611b045) (YouTube)
31. [Lecture 31 : Low Power & Shutdown PRA](https://invisiblenetwork.ai/learn/nptel/121101490/73f0cc5f3284) (YouTube)
32. [Lecture 32 : Internal Flood PRA](https://invisiblenetwork.ai/learn/nptel/121101490/187a6308b00d) (YouTube)
33. [Lecture 33 : Level 1 Fire PRA](https://invisiblenetwork.ai/learn/nptel/121101490/554a19768583) (YouTube)
34. [Lecture 34 : Seismic PRA](https://invisiblenetwork.ai/learn/nptel/121101490/95afe41bbc36) (YouTube)
35. [Lecture 35 : Level 2 and Level 3 PRA](https://invisiblenetwork.ai/learn/nptel/121101490/49b5db928300) (YouTube)
36. [Lecture 36 : Human Reliability- Introduction](https://invisiblenetwork.ai/learn/nptel/121101490/137f82d3a0cb) (YouTube)
37. [Lecture 37 : State of the Art in Human-Reliability](https://invisiblenetwork.ai/learn/nptel/121101490/cec86d1a0d6d) (YouTube)
38. [Lecture 38 : Technique for Human Error Rate Prediction (THERP)](https://invisiblenetwork.ai/learn/nptel/121101490/1858cce28ab3) (YouTube)
39. [Lecture 39 : Human Cognitive Reliability (HCR) Method](https://invisiblenetwork.ai/learn/nptel/121101490/97784b393667) (YouTube)
40. [Lecture 40 : CQB - Method Consciousness, Cognition, Conscience and Brain](https://invisiblenetwork.ai/learn/nptel/121101490/f489ad6c3947) (YouTube)
41. [Lecture 41 : Uncertainty - Introduction](https://invisiblenetwork.ai/learn/nptel/121101490/2b9dfdcd9cde) (YouTube)
42. [Lecture 42 : Uncertainty – Overview, preliminary discussions considering selected approaches](https://invisiblenetwork.ai/learn/nptel/121101490/2fad0c8941f7) (YouTube)
43. [Lecture 43 : Parametric Approach to Uncertainty](https://invisiblenetwork.ai/learn/nptel/121101490/5ab932e9450d) (YouTube)
44. [Lecture 44 : Uncertainty Modelling using Fuzzy Approach in RBE](https://invisiblenetwork.ai/learn/nptel/121101490/94814a24c8d4) (YouTube)
45. [Lecture 45 : Uncertainty – Bayesian, and Monte-Carlo technique](https://invisiblenetwork.ai/learn/nptel/121101490/7cb86361fff0) (YouTube)
46. [Lecture 46 : Scope of Course and Introduction](https://invisiblenetwork.ai/learn/nptel/121101490/84a7190089d3) (YouTube)
47. [Lecture 47 : PoF and FMMECA](https://invisiblenetwork.ai/learn/nptel/121101490/a3e4c0af2ac6) (YouTube)
48. [Lecture 48 : Failure Mechanism and Models](https://invisiblenetwork.ai/learn/nptel/121101490/1daf2148f2c3) (YouTube)
49. [Lecture 49 : Virtual Qualification](https://invisiblenetwork.ai/learn/nptel/121101490/5920949f1665) (YouTube)
50. [Lecture 50 : Physical qualification and Prognostics](https://invisiblenetwork.ai/learn/nptel/121101490/4a8b85d66bfb) (YouTube)
51. [Lecture 51 : PHM Introduction](https://invisiblenetwork.ai/learn/nptel/121101490/d424d17c59a7) (YouTube)
52. [Lecture 52 : Prognostics & Health Management in RBE](https://invisiblenetwork.ai/learn/nptel/121101490/be576c7f8355) (YouTube)
53. [Lecture 53 : Major AI & ML Techniques and Algorithms in PHM](https://invisiblenetwork.ai/learn/nptel/121101490/74320f179d2f) (YouTube)
54. [Lecture 54 : Role of ANN technique in RUL Estimation](https://invisiblenetwork.ai/learn/nptel/121101490/b8d83ba5033e) (YouTube)
55. [Lecture 55 : Uncertanity Management in PHM](https://invisiblenetwork.ai/learn/nptel/121101490/c2810a11c827) (YouTube)
56. [Lecture 56 : RBE-Introduction](https://invisiblenetwork.ai/learn/nptel/121101490/e5ab705e52fd) (YouTube)
57. [Lecture 57 : RBE for Life Extension in support of regulatory relicensing](https://invisiblenetwork.ai/learn/nptel/121101490/a065a683802b) (YouTube)
58. [Lecture 58 : RBE-Risk Monitor](https://invisiblenetwork.ai/learn/nptel/121101490/53f239517f80) (YouTube)
59. [Lecture 59 : RBE-Inservice-Inspection](https://invisiblenetwork.ai/learn/nptel/121101490/0a642b395c6a) (YouTube)
60. [Lecture 60 : RB Operator Support System](https://invisiblenetwork.ai/learn/nptel/121101490/0301a22ab41f) (YouTube)