Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

Condition monitoring of hydro generators

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Lloyd, B. ; Iris Power Eng., USA

Technology advances in condition monitoring are employing an increasing number of on-line sensors to automatically monitor the status and performance of the complex systems required for power generation. Proper use of this information can assist in saving operating and maintenance expenses, in addition to reducing unscheduled outages and catastrophic failures. However, the large volume of available data from these sensors can overwhelm personnel and require extensive interpretation. Correctly handling this information requires expertise in machine design and operating limits, sophisticated on-line monitoring instrumentation, and alarm processing and interpretation. By using a diagnostic monitoring system, a broad base of knowledge can be brought to bear to help nonexperts investigate a particular equipment problem. The advantages of such a system include: making expertise available to general workers even when a human expert is unavailable; improving the efficiency and consistency of an expert; improving the quality of performance of nonexperts; and training less experienced personnel. Because a computer system can be interrogated as to why a particular conclusion was made, less experienced users can gain knowledge about the approach experts use to solve problems. The main components of such a diagnostic system are briefly outlined and include a database, an expert system and a user interface

Published in:

Power Engineering Society Summer Meeting, 1999. IEEE  (Volume:2 )

Date of Conference: