![]() ![]() The work requests for a specific equipment type are reviewed then by manufacturer and model. In this case, nine equipment types were involved: Isolation valve, panel, pump, door, fan, motor, pneumatic operator, relief valve, and breaker. The benefit of this systematic breakdown is a focused review of a limited number of components. There are several hundred equipment types in use at the plant. The counts for equipment that comprised 40 percent of all maintenance performed at the plant over the 3-year period are shown in Fig. Work requests from 2001-2003 were reviewed at Harris and sorted by equipment type. The objective is to then take action to reduce the vital few into the trivial many. When ordered by the count of work requests for each component, the analysis identifies the “vital few” components that contribute the most to plant maintenance and distinguishes them from the “trivial many” that have a small contribution. Harris’s Component Engineering group is employing a simple statistical method known as a Pareto analysis that, when applied to maintenance work requests, can identify the equipment that contributes the most to the plant maintenance work load.Ī Pareto analysis is conducted by adding the number of work requests for each component type over the time frame of interest. ![]() To minimize operation and maintenance costs, plant equipment needs to operate at a maximum maintenance interval. Some contribute more than others to the maintenance workload. It is not always easy to identify equipment that degrades prematurely when it occurs over many years with different people involved.Īll plant components require some level of maintenance over time. With large organizations and personnel turnover, many equipment reliability issues can go unnoticed or even become “expected” maintenance. Personnel perform thousands of maintenance activities annually. Power plants such as Harris have more than 100,000 components. Progress Energy’s Harris nuclear power plant in New Hill, NC, is taking a proactive approach to identify and improve equipment performance. This approach helps uncover reliability problems obscured by the volume of plant work requests. ![]()
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