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Total Size:
18.3 MB
Info Hash:
CE51C49D432DC4046217756CD52E31A639CC1621
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Added:
June 13, 2025, 8:30 p.m.
Stats:
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(Last updated: June 13, 2025, 8:31 p.m.)
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| ['Rigatos G. Fault Diagnosis for Electric Power Systems and Electric Vehicles 2025.pdf'] | 0 bytes |
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67.9 MB
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2023-07-01
| Uploaded by indexFroggy | Size 67.9 MB | Health [ 25 /4 ] | Added 2023-07-01 |
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202.6 MB
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2025-06-12
| Uploaded by andryold1 | Size 202.6 MB | Health [ 47 /15 ] | Added 2025-06-12 |
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18.3 MB
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2025-06-13
| Uploaded by andryold1 | Size 18.3 MB | Health [ 10 /30 ] | Added 2025-06-13 |
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64.5 MB
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2025-06-13
| Uploaded by andryold1 | Size 64.5 MB | Health [ 39 /17 ] | Added 2025-06-13 |
NOTE
SOURCE: Rigatos G. Fault Diagnosis for Electric Power Systems and Electric Vehicles 2025
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COVER
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MEDIAINFO
Textbook in PDF format The present monograph offers a detailed and in-depth analysis of the topic of fault diagnosis for electric power systems and electric vehicles. It explores both model-based and model-free techniques for fault diagnosis and provides a solution for the problem of control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine turbine and synchronous-generator unit. Additionally, it introduces innovative approaches for diagnosing faults in electricity microgrids and gas processing units.The new fault detection and isolation methods with statistical procedures for defining fault thresholds enable early fault diagnosis and reveal incipient changes in the parameters of the monitored systems
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