Promotionsarbeit--Eidg. Tech. Hochschule, Zürich. / eContent provider-neutral record in process. Description based on print version record. "Literaturverzeichnis": p. 129-131.

Thesis--University of Pennsylvania, 1908.

Promotionsarbeit--Eidg. Tech. Hochschule, Zürich. / "Literaturverzeichnis": p. 129-131.

Thesis (M. Phil.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 178-186).

Thesis (doctor)--Technische Universiteit Delft, 1997. / Vita. Includes bibliographical references (p. [153]-162).

Thesis (doctor)--Technische Universiteit Delft, 1997. / Vita. Includes bibliographical references (p. [153]-162).

Abstract not available

D. Ing. / This dissertation deals with the important issue of reliability management for 3kV DC Traction Substations used by the national railway company in South Africa. Maintenance is one of the critical and most costly phases in the lifecycle of any plant. It looks at the total life cycle of the equipment in a typical substation, but the focus in the latter chapters is on the maintenance. Through improved maintenance management, the reliability of the system can be improved. The approach to maintenance is addressed as a predictive strategy, avoiding even more costly nonproductive time due to downtime caused by failure or induced by maintenance. Condition monitoring and assessment is described as one of the effective tools in the maintenance engineer’s armoury to apply a predictive approach. A direct link between predictable maintenance and reliability is explored. In the definition of reliability, concepts such as time and expected performance can be linked to a predictable delivery of the designed function. In other words, if down time is expected and can be prepared for, it is more acceptable than the unexpected. In essence, the system is still reliable as it performs according to expectation. The concept of predictable maintenance can be applied wider than just the 3kV traction substation. The process of identifying critical equipment, to measure the condition and to take decisions based on the rate of change in the condition can be used in any maintenance environment, even outside electrical. The crucial ingredient to this is to understand that condition monitoring is not based on fixed values, but the rate at which these values change. This is called Fuzzy logic. Can we predict the future? If yes, how accurate will the predictions be?

Thesis--M. Phil., University of Hong Kong, 1979. / Xeorx copy of typescript.

published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy