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Browsing College of Arts & Sciences by Author "Hummes, Detlef"
Now showing items 1-8 of 8
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Detection of Electrical and Mechanical Faults by Motor Current Signature Analysis
Hummes, Detlef (The 1st Conference of Technologies in the Field of Monitoring and Maintenance in Power, Kuala Lumpur, Malaysia, 2018-03-09) -
Hybrid Sensing of Internal and Surface Partial Discharges in Air-Insulated Medium Voltage Switchgear
Hussain, Ghulam; Zaher, Ashraf; Hummes, Detlef (Multidisciplinary Digital Publishing Institute (MDPI), 2020-05-04)Partial discharge (PD) measurements have proved their reliability for health monitoring of insulation systems in power system components including synchronous generators, power transformers, switchgear and cables etc. ... -
Integral Monitoring and Diagnosis of Rotating Electrical Machines and Assorciated Mechanical Engines
Hummes, Detlef (May 2015) -
Integrated Remote Insulation Condition Monitoring of Generators and Motors Using Traditional and Wireless Sensor Technologies
Hummes, Detlef (Sep 2014)The reliability of rotating electrical machines is of prime importance for the owner. Unplanned outages may lead to significant production losses. (Remote) monitoring of critical insulation components (rotor and stator) ... -
Intelligent nonmodel-based fault diagnosis of electric motors using current signature analysis
Zaher, Ashraf; Hummes, Detlef; Hussain, Ghulam (2019-11-24)This paper proposes an efficient technique for detecting mechanical faults in three-phase induction motors, without using mechanical sensors. Only measurements of the currents of every phase are used to identify the fault. ... -
Monitoring of Pumps, Fans and Mechanical Components using highly integrated Wireless Sensors
Fruth, Bernhard; Looser, Herbert; Hummes, Detlef (June 2015) -
Motor Watch Motor Fault Signature Analysis
Al-Leythi, H.; Hummes, Detlef; Caironi, C.; Fruth, B.; Hussain, A.; Mohammed, Z. (The 2nd international Conference on Computing Sciences and Engineering (ICCSE18), 2018-03-11) -
Signature Analysis as a Medium for Detecting Faults in Induction Motor
Noor Al-Deen , K.; Hummes, Detlef (The 2nd international Conference on Computing Sciences and Engineering (ICCSE18), 2018-03-11)An induction motor (IM) is an essential component in many industries and power plants. Therefore, for most applications requiring IMs, the reliability, efficiency and performance are of great importance. Also, since the ...