Problem faced due to this event:
- Delay in schedule
- Confusion among the passengers
- Panic in the engine room
- Wastage of the energies while braking and accelerating
We have built the algorithm to generalize the problem statement and *we have used mathematics(Statistics) to build the algo on the basis of the IQR(Interquartile Range) to find out the outliers.
**We have considered a signal to the noise ratio to filter out where signals are getting weak and can generate faults.
***We have also considered RSSI(received signal strength indicator) to define the signals on voltage level.
****We have considered the disruption data to map with the RSSI table data to find out the exact occurrence of the event.
How we are approaching :
We have observed in our analysis that there is a clear demarcation that says the event is about to occur. We have mostly seen these data signals at least 60 sec before the occurrence of the event. and getting information/indication before the occurrence of the event. We have created a generalized formula where we match the exact time of disruption and using our filter techniques we are providing the point of the fault occurrence prior to its occurrence.
Built With
- colab
- google-docs
- google-drive
- node.js
- python
- react.js

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