Title | ||
---|---|---|
Predictive Diagnosis of High-Power Transformer Faults by Networking Vibration Measuring Nodes With Integrated Signal Processing. |
Abstract | ||
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This paper addresses the problem of predictive diagnostic in high-power transformers. Particularly, this paper is focused on their use in uninterruptible power supply systems for safety critical applications, such as railway interlocking signaling installations. With respect to the state of the art, where typically only thermal and electrical faults are monitored, this work proposes a distributed ... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TIM.2016.2552658 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Uninterruptible power systems,Power transformers,Rail transportation,Batteries,Power supplies,Inverters,Vibration measurement | Frequency domain,Signal processing,Uninterruptible power supply,Interlocking,Accelerometer,Transformer,Control engineering,Electronic engineering,Vibration,Engineering,Electrical engineering,Instrumentation | Journal |
Volume | Issue | ISSN |
65 | 8 | 0018-9456 |
Citations | PageRank | References |
4 | 0.58 | 13 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sergio Saponara | 1 | 392 | 58.59 |
Luca Fanucci | 2 | 532 | 82.83 |
Fabio Bernardo | 3 | 4 | 0.58 |
Alessandro Falciani | 4 | 4 | 0.58 |