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The paper deals with studying and analyzing of the affecting factors on the performance of an old steam boiler operated manually, such as operational parameters deviation and human errors that include operational, maintenance, and test staff, and the influence of those factors in the sustainability of the steam production and their impact on other boiler components.Engineering safety analysis method (front and back analysis) had been used to study those factors and to find points of failure, and to clarify the relationship between the types of failure and possible events, which facilitate reliability analysis technique.A PC program in visual basic language was designed as a tool to perform periodical evaluation of boiler reliability and its operational systems, draw boiler reliability as a function of time, and the variation of boiler failure rate with time.It is found that the maximum failure rate of the boiler under consideration is (0.000742) and it occurs when the operation time reaches about seven months. After that the boiler failure rate will be constant.

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Construction projects contain many problems that can occur during the execution. Each problem results from many causes. Fault tree analysis (FTA) technique is a graphical model for analyzing causes of a problem (or undesired event) using logic gates to describe combinations of individual faults that can create an undesired event. Each level of the tree lists the lower level events that are necessary to cause the event shown in the level above it. The assessment process of a problem with FTA technique can be divided into two types: qualitative and quantitative assessment. As a case study to apply FTA technique in construction field, the researcher studied a building in Baghdad that had punching shear problem to analyze the causes lead to this problem. This research aims to introduce the main principles of FTA technique and how to use in identifying and analyzing the causes of problems that can occur in the construction projects. Also, it aims to compute the probability of occurrence of any problem or undesired event.

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In this research, estimated the reliability of water system network in Baghdad was done. to assess its performance during a specific period. a fault tree through static and dynamic gates was belt and these gates represent logical relationships between the main events in the network and analyzed using dynamic Bayesian networks . As it has been applied Dynamic Bayesian networks estimate reliability by translating dynamic fault tree to Dynamic Bayesian networks and reliability of the system appreciated. As was the potential for the expense of each phase of the network for each gate . Because there are two parts to the Dynamic Bayesian networks and two part of gate (AND), which includes the three basic units of the network (A, B, C) and part of gate (WSP), which contains all of the tank (D) and alternative (S) and is a dynamic . then been integrated into the two segments together at gate Association previous two gates of a (OR), and estimate the probability of total failure of the network and through which found reliability. The result of the estimation was in put table shows the change of with time reliability.

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The aim of this work is to make an evaluation to the reliability and availability of an electrical power plant as special kind of production systems to assess its ability in providing power with acceptable quality at a given period of time.Markov model was used as an analytical tool in assessment of the reliability and availability of a production power plant Iraq, and especially for its four new steam- power units, which considered as basic power units of this plant.This model (Markov) was used for the first once in assessment of power production system in Iraq and prove its ability to provide a general evaluation for the performance of the power plant during a period of time.Since the method has too extensive mathematical operations, Matlab system (version605)was used to formulize two computerized programs. once define the mathematics model of the problem ,and the other for define the mathematics model of the problem, and the other for the analysis and plot curves.

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In this paper, the system of the power plant has been investigated as a special type of industrial systems, which has a significant role in improving societies since the electrical energy has entered all kinds of industries, and it is considered as the artery of modern life.
The aim of this research is to construct a programming system, which could be used to identify the most important failure modes that are occur in a steam type of power plants. Also the effects and reasons of each failure mode could be analyzed through the usage of this programming system reaching to the basic events (main reasons) that causing each failure mode. The construction of this system for FMEA is depending on the logical relationships of the fault tree analysis for the systems that contained in the power station.
The designing of such system could be used as an assistance tool for the specialist user (the power engineer) in identifying of all reasons and effects for any type of failures. So this is help to fastening the repairing operation of the identified failure mode to improve the efficiency of operating system as represented by the maintainability, which is a function of system reliability. The selection of the steam type of power generation systems for the application of this study, because this type is the most common type of Iraqi power plants. While such the designed system could be programmed to be use in another types of industrial systems.

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The study was take place with statistical analyasis of available data about faults ( downtime DT, mean time between faults MTBF, mean time to repair MTTR) as dependant variables on fault frequency f as independent variables for fault modes of production equipments and operation times in the sudied period of 26 months. Then simulate it for 25 runs in order to obtain its average that makes the desired results to be more signifigant in generation of mathematical models, which represents the relationships between the predective different times and its comulated density functions. Pareto and Fault tree Analysis of the predictive results showed that the critical equipment (Turbine, Boiler, Condencer, and Generator) with its related faults mode will be a main problem which repeat their faults by 85.16% of the total repetition frequencies while three of them (Turbine, Generator, and Boiler) takes 82.43% of total down times.

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