{
  "id": 80529,
  "title": "How about using FFT to check the signal components?",
  "url": "/competitions/vsb-power-line-fault-detection/discussion/80529",
  "author_name": "",
  "post_date": "2019-02-14T08:27:38.727267600Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I supposed that when line began to discharge or forming a fault, the components of the signal may have changed, there might be some noise in the main components of a signal. \nHowever, if we observe a signal merely from its apperance or the voltage it shows, it would be really hard for us or even for computer to distinguish the fault. Thus, I assumed that fft could be useful for us to reduce the dimension of a signal, since it could separate the signal into the frequency domain.\nI'm just starting to play this game, so this is just a primary guess. Your comments are welcomed</p>",
  "messages": [
    {
      "id": "471265",
      "postDate": "02/14/2019 08:27:38",
      "content": "<p>I supposed that when line began to discharge or forming a fault, the components of the signal may have changed, there might be some noise in the main components of a signal. \nHowever, if we observe a signal merely from its apperance or the voltage it shows, it would be really hard for us or even for computer to distinguish the fault. Thus, I assumed that fft could be useful for us to reduce the dimension of a signal, since it could separate the signal into the frequency domain.\nI'm just starting to play this game, so this is just a primary guess. Your comments are welcomed</p>",
      "rawMarkdown": "I supposed that when line began to discharge or forming a fault, the components of the signal may have changed, there might be some noise in the main components of a signal. \nHowever, if we observe a signal merely from its apperance or the voltage it shows, it would be really hard for us or even for computer to distinguish the fault. Thus, I assumed that fft could be useful for us to reduce the dimension of a signal, since it could separate the signal into the frequency domain.\nI'm just starting to play this game, so this is just a primary guess. Your comments are welcomed",
      "votes": null
    },
    {
      "id": "473050",
      "postDate": "02/17/2019 06:56:05",
      "content": "<p>when you take fft of a faulty signal you are likely to get spikes at odd harmonics but under healthy state the spikes in a fft plot would be at fundamental frequencies.\nI am have no idea about the code for fft of a signal data but you can find it easily</p>",
      "rawMarkdown": "when you take fft of a faulty signal you are likely to get spikes at odd harmonics but under healthy state the spikes in a fft plot would be at fundamental frequencies.\nI am have no idea about the code for fft of a signal data but you can find it easily",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 473050,
      "author_name": "gogulaanandr",
      "author_url": "",
      "post_date": "02/17/2019 06:56:05",
      "content": "<p>when you take fft of a faulty signal you are likely to get spikes at odd harmonics but under healthy state the spikes in a fft plot would be at fundamental frequencies.\nI am have no idea about the code for fft of a signal data but you can find it easily</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "471265": "I supposed that when line began to discharge or forming a fault, the components of the signal may have changed, there might be some noise in the main components of a signal. \nHowever, if we observe a signal merely from its apperance or the voltage it shows, it would be really hard for us or even for computer to distinguish the fault. Thus, I assumed that fft could be useful for us to reduce the dimension of a signal, since it could separate the signal into the frequency domain.\nI'm just starting to play this game, so this is just a primary guess. Your comments are welcomed",
    "473050": "when you take fft of a faulty signal you are likely to get spikes at odd harmonics but under healthy state the spikes in a fft plot would be at fundamental frequencies.\nI am have no idea about the code for fft of a signal data but you can find it easily"
  },
  "source": "meta"
}