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A new fault diagnosis scheme based on the monitoring of main air gap flux of squirrel cage induction motors is proposed. Most of the existing flux monitoring techniques are based on the leakage or stray flux measurement outside of the motor. A few methods, however, use the main air gap flux as the fault signature, where search coils are used to monitor the derivative of the flux, which eventually...
Aiming at the problem that there is much information and it's difficult to predict the fault trend for modern complex equipment, the equipment fault trend prediction model which is based on multi-source information fusion is put forward. Based on the analysis of mutual relationship of fusion information source and fusion strategy, the arithmetic of different information fusion and the method of fault...
This work considers incipient fault diagnosis and prognosis for hybrid systems with unknown mode changes. A set of augmented analytical redundancy relations (ARRs), termed AARRs, is proposed to extend the capability of ARRs to identify degradation of components which are not represented by physical parameters. The methods utilize the unified constraint relations, named global AARRs (GAARRs), for health...
Lightning caused around 26% of the total number of faults in the Portuguese transmission system in the analysed period. Based on historical data, this study uses incident data from 2001 until 2008 (2157 faults in overhead lines) and lightning data from 2003 until 2008 (around 1.65 million cloud-to-ground flashes). The performance of the lightning monitoring system is analysed and the statistical analysis...
A hybrid system combines continuous and discrete dynamics and runs with a set of modes. In we proposed an efficient health monitoring method for hybrid systems. This method utilizes unified constraint relations, named the global analytical redundancy relations (GARRs). Using GARRs for hybrid system health monitoring requires knowledge of the system's mode which is provided by a mode tracker. GARRs...
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