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Investigation of cage rotor variables including on-line monitoringSiyambalapitiya, Don Joseph Tilak January 1987 (has links)
No description available.
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Computerised speed monitoring system for nylon spinningAbrahams, Leon Gary January 1996 (has links)
Thesis (MTech (Electrical Engineering))--Peninsula Technikon, Cape Town,1996 / The Southern Nylon Spinning plant, at South African Nylon
Spinners in Bellville - Cape Town - South Africa, is one
of the oldest on the site and a need arose to upgrade the
existing method used in speed monitoring in this particular
plant. This system was unable to produce alarms on speed
limits being exceeded (i.e. on under-speed or over-speed).
There was no alarm logging or historical trending. Manual
records on speed were either incomplete or non-existent.
Thus the purpose of this study was to investigate the
existing speed monitoring system and implement a suitable
computerised method of speed monitoring.
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An architecture for a diagnostic/prognostic system with rough set feature selection and diagnostic decision fusion capabilitiesLee, Seungkoo 12 1900 (has links)
No description available.
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Detection of turn faults arising from insulation failure in the stator windings of AC machinesCash, M. Alex 08 1900 (has links)
No description available.
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Intelligent online monitoring and diagnosis for metal stamping operations. / Intelligent on-line monitoring and diagnosis for metal stamping operations / CUHK electronic theses & dissertations collectionJanuary 2003 (has links)
"March 2003." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (p. 183-193). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.
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Sensorless stator winding temperature estimation for induction machinesLee, Sang-Bin 05 1900 (has links)
No description available.
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Shipboard applications of non-intrusive load monitoringRamsey, Jack S January 2004 (has links)
Thesis (Nav. E.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. / Includes bibliographical references (p. 89-90). / The Non-Intrusive Load Monitor (NILM) provides a method of measuring component performance and source power quality through a single point of entry in the power distribution system. A study was performed utilizing the NILM onboard three different ships (along with experimentation in the laboratory) to determine its effectiveness in determining the state of mechanical systems through analysis of electrical power data. Data collected from the Auxiliary Seawater System onboard the USCGC SENECA indicate that the NILM is able to predict several faults (clogged pump inlet strainers, faulty motor/pump coupling, fouled heat exchangers) as well as provide a backup indication of flow levels to heat loads. Data collected from the Sewage System of the SENECA indicate several metrics which can be applied to cycling systems in general to differentiate between periods of heavy usage and fault conditions. Finally, data collected from the Steering System of the SENECA as well as a yard patrol boat operated by the Office of Naval Research shows the potential of the NILM to be used as a control system without the need for separate mechanical transducers. / by Jack S. Ramsey, Jr. / S.M. / Nav.E.
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Intelligent signal/image processing for fault diagnosis and prognosisWang, Peng 08 1900 (has links)
No description available.
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Current-based sensorless detection of stator winding turn faults in induction machinesTallam, Rangarajan M. 12 1900 (has links)
No description available.
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