The thesis covers studies conducted during 1976-79 under a Science Research Council contract to examine the uses of reliability information in decision-making in maintenance in the process industries. After a discussion of the ideal data system, four practical studies of process plants are described involving both Pareto and distribution analysis. In two of these studies the maintenance policy was changed and the effect on failure modes and frequency observed. Hyper-exponentially distributed failure intervals were found to be common and were explained after observation of maintenance work practices and development of theory as being due to poor workmanship and parts. The fallacy that constant failure rate necessarily implies the optimality of maintenance only at failure is discussed. Two models for the optimisation of inspection intervals are developed; both assume items give detectable warning of impending failure. The first is based upon constant risk of failure between successive inspections 'and Weibull base failure distribution~ Results show that an inspection/on-condition maintenance regime can be cost effective even when the failure rate is falling and may be better than periodiC renewals for an increasing failure situation. The second model is first-order Markov. Transition rate matrices are developed and solved to compare continuous monitoring with inspections/on-condition maintenance an a cost basis. The models incorporate planning delay in starting maintenance after impending failure is detected. The relationships between plant output and maintenance policy as affected by the presence of redundancy and/or storage between stages are examined, mainly through the literature but with some original theoretical proposals. It is concluded that reliability techniques have many applications in the improvement of plant maintenance policy. Techniques abound, but few firms are willing to take the step of faith to set up, even temporarily, the data-collection facilities required to apply them. There are over 350 references, many of which are reviewed in the text, divided into chapter-related sectionso Appendices include a review of Reliability Engineering Theory, based on the author's draft for BS 5760(2) a discussion of the 'bath-tub curves' applicability to maintained systems and the theory connecting hyper-exponentially distributed failures with poor maintenance practices.

<p>Osnovni cilj ove doktorske disertacije bio je da se razvije novi automatizovani dijagnostiĉki model. Zatim da se praktiĉnom primenom tog modela (na konkretnom primeru automatizovane dijagnostike vitalnih komponenti tehniĉkih sistema u realnim pogonskim uslovima razliĉitih grana industrije) tehno-ekonomskom analizom potvrdi glavna hipoteza disertacije: &bdquo;Automatizovana dijagnostika tehniĉkih sistema u industriji (bazirana na kori&scaron;ćenju raĉunara i drugih savremenih informaciono-komunikacionih tehnologija) doprinosi porastu nivoau pouzdanosti i raspoloţivosti tih sistema, kao smanjenju ukupnih tro&scaron;kova i ekonomiĉnijem poslovanju preduzeća―.</p> / <p>The main objective of this doctoral thesis was to develop a new automated diagnostic model. Then with the practical usage of this model (in particular case of automated diagnostics vital components of technical systems in real operating conditions of different industries) with techno-economic analysis to confirm the main hypothesis of the dissertation: ―Automated diagnostics of technical systems in the industry (based on the use of computers and other modern information and communication technologies) contributes to the increase levels of reliability and availability of these systems, as well as the reduction of total costs and more economical management of the company‖.</p>

Abstract: The diploma thesis is focused on the analysis of reliability and diagnostics of the electric rotary machines originated in industrial energetic practice. There are diagnostic methods in the diploma thesis having been used in practice and analysis of measurement results of the functional measurement on the real electric machines.