Condition monitoring - Initial additions to align with the format #61
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| "#Separating the main metrics and additional metrics into different tables for further analysis\n", | ||
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| "metrics = pd.DataFrame(list(zip(final['Data_y'][3],\n", |
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Please add vibration plots for inner and outer ring damages.
For the issue #59 |
| "id": "ec9855e8-7e9c-4005-a25d-3433086e35a0", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### EDA using data-describe" |
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As discussed, please add the visualization comparison for extent of damage for:
1) Artificial Damage - Table 4
Try to see the comparison between KA03 and KA05. Since both damage methods are electric engraver but the extent damage level is different. We want to get a sense of vibration deviation for these levels
2) Real Damage - Table 5
Check comparison for KA04 and KA16. Both have same damage type (Fatigue, pitting) but different damage levels.
Note: Just a caution, to make sure we are comparing apples to apples. 1 and 2 are for Outer Ring elements. Inner ring damages will exhibit different behaviour from OR.
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| Many plants faces unplanned downtime and it assets fail over the period of time and plants should have the ability to predict the life remaining. | |||
| With the help of data science, the first step is to build an ML tool to analyze the condition or health of machine assets. | |||
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| ### Dataset | |||
| ### Paderborn Bearing Dataset | |||
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| Our dataset of Interest(Paderborn Bearing Dataset) consists the following details: | |||
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Please add experimental setup diagram -
Figure 4 - Modular Test Ring
https://mb.uni-paderborn.de/fileadmin/kat/PDF/Veroeffentlichungen/20160703_PHME16_CM_bearing.pdf
slightly changed the structure of readme file.
For the issue #59 |
Tasks performed to align the conditional monitoring project with the format of other projects
This is a pull request for the issue #59