Definition Reliability is a general quality of an object – an ability to perform a desired function, sustaining the values of rated operational indicators.

Slides:



Advertisements
Similar presentations
Řešení vybraných modelů s obnovou Radim Briš VŠB - Technical University of Ostrava (TUO), Ostrava, The Czech Republic
Advertisements

Lect.3 Modeling in The Time Domain Basil Hamed
FINITE ELEMENTS SOFTWARE FOR ELECTROMAGNETICS APPLIED TO ELECTRICAL ENGINEERING TRAINING. J. Mur, J.S. Artal, J. Letosa, A. Usón and M. Samplón Electrical.
Modeling Process Quality
Markov Analysis Jørn Vatn NTNU.
SMJ 4812 Project Mgmt and Maintenance Eng.
1 Stochastic Event Capture Using Mobile Sensors Subject to a Quality Metric Nabhendra Bisnik, Alhussein A. Abouzeid, and Volkan Isler Rensselaer Polytechnic.
Markov Method of Availability Analysis, APS systems, and Availability Simulation Methods E E 681 Module 21 W. D. Grover TRLabs & University of Alberta.
Nur Aini Masruroh Queuing Theory. Outlines IntroductionBirth-death processSingle server modelMulti server model.
ECIV 201 Computational Methods for Civil Engineers Richard P. Ray, Ph.D., P.E. Error Analysis.
Helicopter System Reliability Analysis Statistical Methods for Reliability Engineering Mark Andersen.
Approximations and Errors
Steps of a sound simulation study
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department Numerical Analysis ECIV 3306 Chapter 3 Approximations and Errors.
Copyright 2007 Koren & Krishna, Morgan-Kaufman Part.2.1 FAULT TOLERANT SYSTEMS Part 2 – Canonical.
Reliability Chapter 4S.
Copyright © 2014 by McGraw-Hill Education (Asia). All rights reserved. 4S Reliability.
Properties of Random Numbers
Control Charts for Attributes
Announcements Be reading Chapter 3
 Software Software  Program vs Software Products Program vs Software Products  Software Characteristics Software Characteristics  Software Crisis.
PowerPoint presentation to accompany
ALGEBRA, EQUATIONS AND FORMULAE. INTRODUCTION  Algebra essentially involves the substitution of letters for numbers in calculations, so that we can establish.
Project & Quality Management Quality Management Reliability.
Component Reliability Analysis
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. by Lale Yurttas, Texas A&M University Chapter 31.
Introduction and Analysis of Error Pertemuan 1
Capacity analysis of complex materials handling systems.
Power Quality Control Ing. Jan Šefránek Energetický regulační úřad [Energy Regulatory Office / Czech Republic] Špindlerův Mlýn, 17.
Distributed Virtual Laboratory for Smart Sensor System Design Distributed Virtual Laboratory for Smart Sensor System Design Oleksandr Palagin, Volodymyr.
Problem Solving: Methods, Formats, and Conventions Introduction to Mechanical Engineering The University of Texas-Pan American College of Science and Engineering.
MATH 685/CSI 700 Lecture Notes Lecture 1. Intro to Scientific Computing.
Simulation Prepared by Amani Salah AL-Saigaly Supervised by Dr. Sana’a Wafa Al-Sayegh University of Palestine.
Application of the Direct Optimized Probabilistic Calculation Martin Krejsa Department of Structural Mechanics Faculty of Civil Engineering VSB - Technical.
 A probability function is a function which assigns probabilities to the values of a random variable.  Individual probability values may be denoted by.
WELCOME TO SEMINAR ON SCADA WELCOME TO SEMINAR ON SCADA Presented by: ANIL KUMAR RAUT Adm No:33IE/2k.
Reliability Models & Applications Leadership in Engineering
2. Terms and definitions1 # Voltage Sags and Interruptions.
MECN 3500 Inter - Bayamon Lecture 3 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
The automated system of maintenance of reliability and quality of equipment ASONIKA
Copyright  2003 by Dr. Gallimore, Wright State University Department of Biomedical, Industrial Engineering & Human Factors Engineering Human Factors Research.
1 Chapter 7 Sampling Distributions. 2 Chapter Outline  Selecting A Sample  Point Estimation  Introduction to Sampling Distributions  Sampling Distribution.
A New Methodology for Systematic Conceptual Design by means of Generalized Discrete Representations Research group conducted by Dr. Offer Shai Department.
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1 Chapter 3.
PROGRAM DEVELOPMENT CYCLE. Problem Statement: Problem Statement help diagnose the situation so that your focus is on the problem, helpful tools at this.
Prof. Wahied Gharieb Ali Abdelaal CSE 502: Control Systems (1) Topic# 3 Representation and Sensitivity Analysis Faculty of Engineering Computer and Systems.
Numerical Analysis Intro to Scientific Computing.
Dr. W. H. Wellssow, © i d s GmbH EttlingenMai 2003 CIRED Round Table 5 Fault Statistics in Distribution Networks Dr. W.H. Wellssow IDS GmbH Ettlingen,
OPERATING SYSTEMS CS 3530 Summer 2014 Systems and Models Chapter 03.
STROUD Worked examples and exercises are in the text Programme 29: Probability PROGRAMME 29 PROBABILITY.
 Simulation enables the study of complex system.  Simulation is a good approach when analytic study of a system is not possible or very complex.  Informational,
Lecture Objectives: Define the final project Deliverables and Grading policy Analyze factors that influence accuracy of our modeling study Learn about.
Part.2.1 In The Name of GOD FAULT TOLERANT SYSTEMS Part 2 – Canonical Structures Chapter 2 – Hardware Fault Tolerance.
EKT 314/4 WEEK 2 : CHAPTER 1 INTRODUCTION TO EI ELECTRONIC INSTRUMENTATION.
Distribution systems basic techniques and radial networks.
The article written by Boyarshinova Vera Scientific adviser: Eltyshev Denis THE USE OF NEURO-FUZZY MODELS FOR INTEGRATED ASSESSMENT OF THE CONDITIONS OF.
A fault tree – Based Bayesian network construction for the failure rate assessment of a complex system 46th ESReDA Seminar May 29-30, 2014, Politecnico.
Series and Parallel Circuits SNC1D. Series and Parallel Circuits Key Question: How do series and parallel circuits work?
Introduction To Modeling and Simulation 1. A simulation: A simulation is the imitation of the operation of real-world process or system over time. A Representation.
Traffic Simulation L2 – Introduction to simulation Ing. Ondřej Přibyl, Ph.D.
OPERATING SYSTEMS CS 3502 Fall 2017
Predictive-Based Maintenance Strategy
ADVANTAGES OF SIMULATION
An-Najah National University
Chapter 3 Component Reliability Analysis of Structures.
Transmission Planning in a Modern Market Environment
1 FUNCTIONS AND MODELS.
Software requirements
Statistical Thinking and Applications
SIMULATION IN THE FINANCE INDUSTRY BY HARESH JANI
Presentation transcript:

Definition Reliability is a general quality of an object – an ability to perform a desired function, sustaining the values of rated operational indicators in given limits and time according to given technical conditions. Reliability is probability that an activity of an appliance in given time and given operation conditions will be adequate to its purpose. EIA (Electronic Industry Association, USA) The Basic Reliability Calculations

Reliability Calculations 1. 1.Reliability of single parts of networks in the time of production of project documentation 2. 2.Reliability of already operated networks 3. 3.Reliability in the area of control of electric power system operation

  failure rate [ year -1 ]   mean time of failure  [ h ]   probability of failure-free run R [ - ]   probability of failure Q [ - ]   mean time between failures t S [ h ] Restored x Not restored objects Mean time between failures x Mean time to failure Numerical Representation of Reliability (Classical - reliability of elements)

Global Indices of Reliability – –Outage rate - SAIFI average system outage rate (number of outages/year/consumer) – –Total time of all outages - SAIDI average system outage time (min/year/consumer) – –Time of one outage - CAIDI average outage time at a customer (min/outage) (Reliability of electric energy supply)

Bathtub curve IIIIIIt Early failure period Constant failure rate period Wear-out failure period

The relation between the function of reliability and failure rate is: For failure rate it is valid:

Division of Probability of Failure Exponential division Exponential rule of failure

Poisson’s division Weibull’s deal If k = 0, there is probability of no failure, therefore probability of failure-free running.

Obtaining of input values for reliability calculations Calculation of Reliability in Electricity Industry A priori reliability – determination of reliability quantities from data of a producer. Empirical reliability – monitoring of failures in electricity industry. The empirical method is mostly used for obtaining the input values for reliability calculations, because an application of a priori reliability method requires different attitude to every element of electricity system.

Analysis of Distribution Network Failure Databases Exclusive outage databases had been on the rise since 1975 in the former Czechoslovakia. Unfortunately, database building stopped in1990 because of political and social changes. Thanks to the expert group CIRED Czech distributors opted for unified monitoring of global reliability indices and the reliability of selected pieces of equipment in 1999 again. Data for the reliability computation is centrally processed and analyzed at the VSB - Technical University of Ostrava since the year Collected data are often heterogeneous. It is necessary to solve the storage, indexing, and also transformation of such data. We need to create a common relational scheme for the storage of the data, a new relation makes the querying and analysis possible.

Database range

Heterogeneous Data We developed a common relational schema.

Failure rate (year -1 )   N = number of failures (-)   Z = number of elements of the given type in the network (-)   P = the considered period (year) Results

Mean duration of the failure (h)   N = number of failures (-)   t i = the considered period (h) Results

The value tendency of reliability indices of the 22 kV cable

Results Comparison with methodology ČEZ 22/80

Results Division of failures according to their causes

The Main Calculation Methods of Reliability Method of reliabilty schemes Department of electrical power engineering Markov‘s processes Simulative methods

- make-up of reliability diagram, - assignment of relevant reliability quantities to single elements, - simplification of reliability diagram towards one element, Advantages: - considered systems do not have to really exist as yet, - procedure of solving is well-arranged and not exacting concerning mathematics, - mathematical procedure does not require iterative calculation, - accuracy of results depends only on the accuracy of input parameters of calculation. Disadvantages: - it is impossible to pursue power balance of network, - „T“ type bay can be modelled only approximately. Method of Reliability Schemes

Probability of failure-free run: Rule of Multiplication of Probabilities : P(A)probability of occurrence of A P(B) probability of occurrence of B Series systems A failure of one element leads to a failure of a system.

A failure of a system occurs when all elements have a failure Probability of a failure: Probability of failure-free run: Parallel Systems

Simplified Probability of failure-free run:

Methodology of Calculation of Reliability according to ČEZ 22/80 Regulation Advantages: -takes into account maintenance outages, -enables to include manipulation into calculation as well, takes so-called cold reserves into account. The disadvantage is that this methodology does not include so-called coordination of maintenance. These operating states are considered with calculation: -operation, -failure outage, -maintenance outage. Supposition and simplification: -the effect of weather on failure rate and repair rate is not taken into account, - - exponential division of distributive function of time of failures and repairs for all elements of electric network is taken into account, -average data are started from.

Mean times of outages of a two-elements system: Series connection of elements For this circuit with two elements it holds: P... Failure rate [year -1 ] U... Maintenance rate [year -1 ]... Outage rate (maintenance + repair) [year -1 ]

Maintenance outage cannot occur at this connection, because at the failure of one element maintenance of another element will not begin. Parallel connection of elements – hot reserve Failure rate: Mean time of failure:

Parallel circuit of elements – cold reserve …. Manipulation time [h]

Simulation Methods of Calculation of Reliability It is necessary to know the intensity of outages and mean time of outages of all the elements of a system. Simulation - numerical method which resides in experimenting with mathematical models of real systems on numerical computers. Advantages: - considered systems do not have to really exist as yet, - - considered systems can be too complicated for using analytical methods, - - simulation makes possible study of behaviour of systems in real, accelerated, or retarded time. The second possibility is the most important in this case, because the processes of outage of elements and their re-introduction into operation are very slow. It would be very inefficient to study them in any other time but accelerated. - - with simulation it is possible to verify results obtained by other independant processes, - - possibility of modelling „T“ type bays - - simple power balance of a diagram is carried out, outage is always simulated at overloaded elements.

- - construction of a useful simulation model is very time-consuming. Mostly several variants of a model are needed. -simulation is a numerical method, so a solution of certain problem cannot be generally transferred on analogous problems. - - the results obtained from stochastic simulation models are values of and it would be very computer time-consuming if their accuracy should be increased accidental quantities, and it would be very computer time-consuming if their accuracy should be increased -precision of results depends on the number of iterations, -the needed number of iterations depends on the extent of the solved network and on the required precision. Disadvantages of simulation methods: