Inteligent IoTSP - Implementation of Embedded ML AI Tensorflow Algorithms on the NVIDIA Jetson Tx Chip

P. Lipnicki, D. Lewandowski, M. Syfert, Anna Sztyber, P. Wnuk
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引用次数: 1

Abstract

This article presents a description of the project and implementation of the system for the execution of on-line diagnostics of compressors using the methods of artificial intelligence and the Tensorflow library. The main tasks of the system are: on-line acquisition of process data from the compressor set, on-line state monitoring (fault detection) of the compressor set based on the analysis of process data and using the classifiers modelled using the Tensorflow library. The system is intended to be a proof of concept, it should show the possibility of using Tensorflow library models running on the Jetson platform for on-line monitoring of compressor faults. The sample models proposed and prepared during previous research and development projects were used for testing. The algorithms used to identify and detect failures are based on MLP, CNN, SVM and LSTM - keras.
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智能物联网-在NVIDIA Jetson Tx芯片上实现嵌入式ML AI Tensorflow算法
本文介绍了利用人工智能和Tensorflow库的方法对压缩机进行在线诊断的系统的设计和实现。该系统的主要任务是:在线获取压缩机组过程数据,基于过程数据分析和使用Tensorflow库建模的分类器对压缩机组进行在线状态监测(故障检测)。该系统旨在作为一个概念验证,它应该显示使用在Jetson平台上运行的Tensorflow库模型在线监测压缩机故障的可能性。在以前的研究和开发项目中提出和准备的样本模型被用于测试。用于故障识别和检测的算法基于MLP、CNN、SVM和LSTM - keras。
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