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About Rotating Machinery Diagnostics Using Deep Learning On Orbit Plot Images
The document discusses using deep learning and convolutional neural networks to classify fault modes in rotating machinery based on orbit plot images. Specifically, it proposes an autonomous algorithm to recognize different orbit patterns generated by rotating equipment in order to enable more robust automatic condition monitoring. The algorithm uses a CNN trained on orbit images to identify the type of malfunction affecting the machine. The method is demonstrated on a rotor testbed.
Detailed Information
| Author: | ['Muhammad Junaid Dar'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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