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This repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algorithms in industrial systems. The dataset includes measurements from a simulated production line, and faults are introduced at specific times during the production process.

License: The Unlicense

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unsupervised-_fault_detection-industrial_process's Introduction

Hi ๐Ÿ‘‹, I'm Mohan

PhD candidate in artificial intelligence, specializing in fault diagnosis of green hydrogen multi-source hybrid systems.

mohan696matlab

  • Outside of my research, I'm also a content creator on YouTube, where I make videos on the application of AI in fault diagnosis. Intelligent Machines

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at Github

  • ๐Ÿ‘จโ€๐Ÿ”ฌ My published Research papers Google Scholar

  • ๐Ÿ“ซ How to reach me [email protected]

  • ๐Ÿ“„ Know about my experiences CV/Resume

Connect with me:

https://www.linkedin.com/in/balyogi-mohan-dash-91013a155 https://www.youtube.com/channel/ucp58dpgxhs2tunj6iznksyw

Languages and Tools:

git matlab mysql opencv pandas python scikit_learn seaborn tensorflow pytorch docker

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