Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.94 GB | Duration: 4h 31m
Reliability, Availability & Mantainability analysis on electrical power systems using Monte Carlo simulations and MATLAB
What you'll learn
Learn reliability, availability and mantainaility fundamental concepts
Learn how to detect the failing modes responsible for having a complete system shutdown
Build individual components failure and reparing time period modeling, from historical data and/or other references using random number generation
Learn to model a whole system's failures and reparing times from its individual building blocs modeling
Learn to estimate realiability, availability and mantainability of a system using Matlab and monte carlo
Create software capable of simulating any kind of system from scratch
Requirements
Basic programming knowledge using Matlab (or Octave)
Basic engineering knowledge
Basic probability and statistics knowledge
Description
Reliability centered maintenance has become a common practice on maintenance departments over all kinds of fields, from pretoleum fields to power system, passing through naval and aeronautical industry. Reliability centered maintenance allows for a cost effective maintenance policy that is focused on a system's different modes of failure and consecuences.Most of the times, the failures of a system are fundamentaly random in their behaviour, thus, having a tool capable of simulating this random behaviour thousands or even millions of times in order to get a statistical trend is extemely valuable so that we can plan maintenance policies that tackle the most likely failing modes and the most catastrophic ones.Monte Carlo methods is an umbrella terms that covers all the studies that rely on many similations of random systems in order to get their most likely...
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