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Methods and Applications is applied on different models, methods, and unique approaches to deal with the technological aspects of Reliability Engineering
RELIABILITY ENGINEERING
89259 06892
Duration | 6 Hours (2hrs/day)
ELIGIBILITY:
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Working professionals, Engineers, and Staffs from manufacturing, maintenance, Purchase, and Planning Departments from Steel, Textiles, Jute, Sugar, Cement, Paper, Petrochemical, Automobile and Tyre Manufacturing Industries.
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Awareness in any of the fields in Maintenance, Engineering and Basic concepts in Manufacturing
CERTIFICATION CRITERIA:
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Attendance – 90% Min
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Assignment completion – 100%
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Post test assessment score – 70% Min
HIGHLIGHTS
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Presents the review and analysis of preventive maintenance modelling issues.
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Presents the review on the requirements of quality, production, minimum costs, and reducing the frequency of failures.
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Presents a novel approach for analysis of Failure Modes and Effect Analysis (FMEA)
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Presents the Reliability and Availability modelling of a system through Markov chains and Stochastic Petri nets.
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Talks about the fault tree analysis technique for the calculation of reliability and risk measurement.
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Presenting the failure rate functions of replacement times, random, and periodic replacement models, and their properties.
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Highlighting the design of accelerated life tests with competing failure modes.
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Discussing the time-variant reliability analysis methods for real-life.
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Presenting an overview of the current state-of-the-art reliability assessment approaches.
CONTENTS
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Preventive Maintenance Modelling
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Inspection Maintenance Modelling for Technical Systems
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Application of Stochastic Processes in Degradation Modelling
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Markov Chains and Stochastic Petri Nets for Availability and Reliability Modelling
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An Overview of Fault Tree Analysis and Its Application in Dual Purposed Cask Reliability in an Accident Scenario
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An Overview on Failure Rates in Maintenance Policies
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Accelerated Life Tests with Competing Failure Modes
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Time-Variant Reliability Analysis Methods
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Latent Variable Models in Reliability
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Expanded Failure Modes and Effects Analysis
OUTCOMES
By The End Of Course The Learner Will:
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Understand the concepts of human error and reliability are integrated and complementary to each other.
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Able to focus on human behaviour to recognize its potential involvement in system failure.
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Attain the basic techniques of quality improvement, fundamental knowledge of statistics and probability.
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Use control charts to analyse for improving the process quality.
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Describe different sampling plans.
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Acquire basic knowledge of total quality management.
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Understand the concepts of reliability and maintainability