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- W1569181748 abstract "In the past utility engineer often struggled with the fact that to little data was available when they attempted to analyze problems within their power systems. They also did not have enough information to predict or ascertain the level of maintenance needed or when it would be required for the major equipment located within their substations. As new and higher levels of technologies have made its way into the utility environment, these same engineers are suffering from data overload. They have more data than can be process and assimilated in the time available. Thus important knowledge concerning the status of substation equipment is just lying stagnant and not being used to the betterment of either the personnel or the equipment. This “data overload” not only has impact on each piece of equipment, or substation, but also at the system level. The data might be coming from sensors in breakers or transformers or some could even be available in other monitors already located in the substation (i.e. fault recorders, event recorders, RTU’s). Where and when this data can and should be converted to information is also a question. Then once the information is available how is it turned into knowledge. For knowledge is power, and can only be used for the betterment of the system once it (knowledge) is available. In the past this process was performed within the brain of someone. Today the challenge is to automatically convert data to knowledge, which frees the manpower to implement corrective or preventive action. The massive quantities of data, the diverse points of origin, and the vast array of implementations make this a very complex area of discussion. How do you correctly interpret the data? How is the right decision reached? To whom should the decision be supplied? In what time frame does the critical path lie? How many different people need to be supplied with what different pieces of information? These many different questions need to be discussed and decisions reached so each utility can provide its’ own personnel with the information and knowledge they need to adequately operate and maintain their own electric systems." @default.
- W1569181748 created "2016-06-24" @default.
- W1569181748 creator A5091054733 @default.
- W1569181748 date "2005-08-25" @default.
- W1569181748 modified "2023-09-24" @default.
- W1569181748 title "The Realities Of Turning Data Into Knowledge" @default.
- W1569181748 doi "https://doi.org/10.1109/pesw.1999.747312" @default.
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