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.

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