B.E Artificial Intelligence and Machine Learning Reliability Engineering Syllabus - Mumbai University
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for Reliability Engineering
Module 1: Probability theory: Probability: Standard definitions and concepts; Conditional Probability, Baye’s Theorem.
- Probability Distributions: Central tendency and Dispersion; Binomial, Normal, Poisson, Weibull, Exponential, relations between them and their significance. Measures of Dispersion: Mean, Median, Mode, Range, Mean Deviation, Standard Deviation, Variance, Skewness and Kurtosis.
Module 2: Reliability Concepts: Reliability definitions, Importance of Reliability, Quality Assurance and Reliability, Bath Tub Curve.
- Failure Data Analysis: Hazard rate, failure density, Failure Rate, Mean Time To Failure (MTTF), MTBF, Reliability Functions. Reliability Hazard Models: Constant Failure Rate, Linearly increasing, Time Dependent Failure Rate, Weibull Model. Distribution functions and reliability analysis.
Module 3
- System Reliability: System Configurations: Series, parallel, mixed configuration, k out of n structure, Complex systems.
Module 4: Reliability Improvement: Redundancy Techniques: Element redundancy, Unit redundancy, Standby redundancies. Markov analysis.
- System Reliability Analysis – Enumeration method, Cut-set method, Success Path method, Decomposition method.
Module 5: Maintainability and Availability: System downtime, Design for Maintainability: Maintenance requirements, Design methods: Fault Isolation and self-diagnostics, Parts standardization and Interchangeability, Modularization and Accessibility, Repair Vs Replacement.
- Availability – qualitative aspects.
Module 6: Failure Mode, Effects and Criticality Analysis: Failure mode effects analysis, severity/criticality analysis, FMECA examples. Fault tree construction, basic symbols, development of functional reliability block diagram, Fau1t tree analysis and Event tree Analysis
- Assessment consists of two tests out of which; one should be compulsory class test and the other is either a class test or assignment on live problems or course project.
REFERENCES
- 1 L.S. Srinath, “Reliability Engineering”, Affiliated East-Wast Press (P) Ltd., 1985.
- 2 Charles E. Ebeling, “Reliability and Maintainability Engineering”, Tata McGraw Hill.
- 3 B.S. Dhillion, C. Singh, “Engineering Reliability”, John Wiley & Sons, 1980.
- 4 P.D.T. Conor, “Practical Reliability Engg.”, John Wiley & Sons, 1985.
- 5 K.C. Kapur, L.R. Lamberson, “Reliability in Engineering Design”, John Wiley & Sons.
- 6 Murray R. Spiegel, “Probability and Statistics”, Tata McGraw-Hill Publishing Co. Ltd.
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
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