This paper is related to the current research project "AC Meter Duty Meter" run by The University of Newcastle and ACARP. The main objective of the project is to develop an innovative condition monitoring tool for large industrial induction motors, which offers a superior fault prediction capability. The approach taken in the project has two distinctive features: it is based on measurement of main air gap flux and it relates motor condition to its duty. This paper will present an overview of the existing methods used in condition monitoring, especially those based on flux measurement. It will then explain about the advantages of the proposed main air gap measurement approach. Preliminary analysis of experimental data collected so far will b...
Condition monitoring of induction machines relies on being able to detect the difference between hea...
© 1972-2012 IEEE. Condition monitoring can diagnose the inception of fault mechanisms in induction m...
Rolling bearing faults are generally slowly progressive; therefore, the development of an effective ...
A new fault diagnosis scheme based on the monitoring of main air gap flux of squirrel cage induction...
A new fault diagnosis scheme based on the monitoring of main air gap flux of the three phase squirre...
The aim of this paper is to investigate the possibility to employ a simple external flux coil to mon...
Condition monitoring of an induction motor may be based on measuring the electrical signals, such as...
This paper suggests a method to monitor defects such as cracked rotor bars and the shorted stator co...
Condition monitoring in industry is desirable for increasing machinery availability, reducing conseq...
Condition monitoring involves taking measurements on an induction motor while it is operating in ord...
DC machines continue to be widely used in many applications including mining. No comprehensive condi...
International audienceAs one of the most promising techniques, magnetic flux-based condition monitor...
The aim of condition monitoring is to recognise the development of evolving motor faults at an earl...
The ability of the electromagnetic flux measured in various locations of a 35-kW cage induction moto...
Condition monitoring of induction machines relies on being able to detect the difference between hea...
Condition monitoring of induction machines relies on being able to detect the difference between hea...
© 1972-2012 IEEE. Condition monitoring can diagnose the inception of fault mechanisms in induction m...
Rolling bearing faults are generally slowly progressive; therefore, the development of an effective ...
A new fault diagnosis scheme based on the monitoring of main air gap flux of squirrel cage induction...
A new fault diagnosis scheme based on the monitoring of main air gap flux of the three phase squirre...
The aim of this paper is to investigate the possibility to employ a simple external flux coil to mon...
Condition monitoring of an induction motor may be based on measuring the electrical signals, such as...
This paper suggests a method to monitor defects such as cracked rotor bars and the shorted stator co...
Condition monitoring in industry is desirable for increasing machinery availability, reducing conseq...
Condition monitoring involves taking measurements on an induction motor while it is operating in ord...
DC machines continue to be widely used in many applications including mining. No comprehensive condi...
International audienceAs one of the most promising techniques, magnetic flux-based condition monitor...
The aim of condition monitoring is to recognise the development of evolving motor faults at an earl...
The ability of the electromagnetic flux measured in various locations of a 35-kW cage induction moto...
Condition monitoring of induction machines relies on being able to detect the difference between hea...
Condition monitoring of induction machines relies on being able to detect the difference between hea...
© 1972-2012 IEEE. Condition monitoring can diagnose the inception of fault mechanisms in induction m...
Rolling bearing faults are generally slowly progressive; therefore, the development of an effective ...