Incipient failure prediction of rotating electrical machinery by eddy current on-line monitoring method

Chari, M.V.K.; Bedrosian, G.; Fealey, J. A.; Sober, T.J.; Scheibel, John

doi:10.1109/20.92278

Cited by 2 publications

(3 citation statements)

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“…Significant work has been done in the field of high temperature eddy current sensor development and its application in turbine blade health monitoring and disk monitoring (Barranger, 1984; Chari et al , 1988; Cartz, 1995; Tietze, 1990). Significant progress in the development of commercial high temperature eddy current sensors has been made by Hood Technology, General Dynamics Advanced Information Systems, JENTEK Sensors, and Qinetiq, among others.…”

Section: Required Specifications For a Sensing Technology Applicable To High‐temperature Zones In A Propulsion Systemmentioning

confidence: 99%

“…The state of the art for harsh environment, high‐temperature sensors have improved considerably over the past few years (McCarty and Thompson, 1980; Gauthier, 1981; Forth and Staroselsky, 2001; Hudak et al , 2004; Wrbanek et al , 2004; Gregory et al , 2002; Hulse et al , 1985; Auciello, 1999; Elshabini‐Riad and Barlow, 1998; Lei et al , 1997; Metev, 1998; Dharan, 1986; Barranger, 1984; Chari et al , 1988; Cartz, 1995; Tietze, 1990; Sayir et al , 2006). Existing fatigue and life prediction studies for high‐temperature zones (1,000‐1,400°C in propulsion systems and higher for missile systems) depend on the strain/stress values computed from indirect measurements of temperature, flow velocity, pressure, and so on.…”

Section: Introductionmentioning

confidence: 99%

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Technological assessment of high temperature sensing systems under extreme environment

Ghoshal

Kim

2012

Sensor Review

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PurposePresently there exists no way to directly measure strain at high temperatures in engine components such as the combustion chamber, exhaust nozzle, propellant lines, and turbine blades and shaft. The purpose of this paper is to address this issue.Design/methodology/approachThermomechanical fatigue (TMF) prediction, which is a critical element for a blade design, is a strong function of the temperature and strain profiles. Major uncertainties arise from the inability of current instrumentation to measure temperature and strain at critical locations. This prevents the structural designer from optimizing the blade design for high temperature environments, which is a significantly challenging problem in engine design.FindingsBeing able to directly measure strains in different high temperature zones would deeply enhance the effectiveness of aircraft propulsion systems for fatigue damage assessment and life prediction. The state of the art for harsh environment, high temperature sensors has improved considerably over the past few years.Originality/valueThis paper lays down specifications for high temperature sensors and provides a technological assessment of these new sensing technologies. The paper also reviews recent advances made in harsh environment sensing systems and takes a peek at the future of such technologies.

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Section: Required Specifications For a Sensing Technology Applicable To High‐temperature Zones In A Propulsion Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Technological assessment of high temperature sensing systems under extreme environment

Ghoshal

Kim

2012

Sensor Review

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“…Therefore, robust and simple fault identification methods are essential to detect unexpected motor faults. Costly and complicated conventional techniques [3] usually involve the use of sensors fitted in the machine measuring and sensing temperature or vibration as well as professionally analysed data [1,4].…”

Section: Introductionmentioning

confidence: 99%

Open Circuit Stator Winding Fault Detection of Induction Machines from Transient Data Using Nature Inspired Optimization Algorithms

Ethni

Smith

Khalfalla

et al. 2018

2018 53rd International Universities Power Engineering Conference (UPEC)

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This paper investigates the performance of two Nature Inspired Optimization Algorithms (NIOA): Bacterial Foraging Optimization (BFO) and Particle Swarm Optimization (PSO), which are used for early fault detection on Induction Machine (IM) stator windings, to prevent sudden, catastrophic, breakdowns. An open-circuit stator winding fault is experimentally studied. This scheme uses time domain measurements obtained during transients to validate the capability of this technique, and in conjunction with the NIOA, estimates the parameters of the IM mathematical model, detects stator winding faults, and gives information about its type and location. Only stator voltages, currents, and rotor speed are evaluated using experimental data obtained from a wound rotor three-phase IM. The validity and effectiveness of the proposed method using the transient data is verified, showing its accuracy, prediction capability, and sensitivity without the need of prior knowledge of various fault signatures.

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Incipient failure prediction of rotating electrical machinery by eddy current on-line monitoring method

Cited by 2 publications

References 1 publication

Technological assessment of high temperature sensing systems under extreme environment

Technological assessment of high temperature sensing systems under extreme environment

Open Circuit Stator Winding Fault Detection of Induction Machines from Transient Data Using Nature Inspired Optimization Algorithms

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