Applied result detail

On the edge implementation of quantized ANN for interturn short-circuit diagnostics

KOZOVSKÝ, M.; BLAHA, P.; VÁCLAVEK, P.

Original Title

On the edge implementation of quantized ANN for interturn short-circuit diagnostics

English Title

On the edge implementation of quantized ANN for interturn short-circuit diagnostics

Type

Software

Abstract

The prepared software package contains a set of scripts for the conversion of neural networks for inter-turn short-circuit detection from floating point arithmetic to integer arithmetic suitable for implementation in tensor processing units - TPUs. A trained neural network and a representative dataset are needed to use the quantization process. The resulting neural network contains only integer types and can be easily implemented in low-cost microcontrollers without float processing units FPU or into TPU platforms. The size of the neural network is reduced to approximately one-quarter of the original size with just a minimum reduction in classification accuracy. The resulting quantized networks were tested on a test system for the analysis of inter-turn short-circuits in a multiphase PMS motor with a Nerve Blue platform equipped with an additional Coral TPU accelerator.

Abstract in English

The prepared software package contains a set of scripts for the conversion of neural networks for inter-turn short-circuit detection from floating point arithmetic to integer arithmetic suitable for implementation in tensor processing units - TPUs. A trained neural network and a representative dataset are needed to use the quantization process. The resulting neural network contains only integer types and can be easily implemented in low-cost microcontrollers without float processing units FPU or into TPU platforms. The size of the neural network is reduced to approximately one-quarter of the original size with just a minimum reduction in classification accuracy. The resulting quantized networks were tested on a test system for the analysis of inter-turn short-circuits in a multiphase PMS motor with a Nerve Blue platform equipped with an additional Coral TPU accelerator.

Keywords

neural network, quantisation, inter-turn short circuit

Key words in English

neural network, quantisation, inter-turn short circuit

Location

CEITEC Admas, 651/139, Purkyňova, 612 00 Brno

Licence fee

In order to use the result by another entity, it is always necessary to acquire a license

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