1. PS 1: Question 7 What would be the future practice for inrush detection?
The amount of 2nd harmonics is too low in some cases during an inrush. An neural network can be an alternative in the future.
Basic structure (at 16 samples/cycle)

2. PS 1: Question 7 Strategy at the design of a neural network (1)
I: Using of information from one side, phase- segregated
iaS1(t)
Neuronal
Network
ANN 1
ibS1(t)
iaS1(t)
Neuronal
Network
icS1(t)
ibS1(t)
Neuronal
Network
Decision logic
II: Using of information from all sides
icS1(t)
Neuronal
Network
iaS1(t)
Neuronal
Network
iaS1(t)
Preprocessing
Neuronal
Network
ibS1(t)
ibS1(t)
icS1(t)
Preprocessing
Neuronal
Network
Decision logic
iaS2(t)
icS1(t)
Preprocessing
Neuronal
Network
ibS2(t)
icS2(t)

3. PS 1: Question 7 Strategy at the design of a neural network (2)
Combination of using the information from all sides
iaS1(t)
Neuronal
Network
ANN 2
iaS2(t)
ibS1(t)
Neuronal
Network
Decision logic
ibS2(t)
icS1(t)
Neuronal
Network
icS2(t)

4. PS 1: Question 7 Strategy of pre-processing
Goal:
Improvement on the comparability of different data
Expose of common features
Simplification and reduction of the neural network
Procedure:
Scaling on the greatest value in the sampling interval
Rotation of the values so that the greatest value is always the first one.

5. PS 1: Question 7 Simulation result strategy ANN1 and ANN2
Inrush of a
transformer
current a, b, c,
Side 1
2nd harmonics
in differential current
Results of inrush
detection with
neuronal networks
ANN 1
ANN 2