RETRACTED ARTICLE: Internet of Things Based Industrial Automation Using Brushless DC Motor Application with Resilient Directed Neural Network Control FED Virtual Z-Source Multilevel Inverter Topology

Sivaranjani, S.; Rajeswari, R.

doi:10.1007/s11277-018-5365-6

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…In these areas, remote fault diagnosis systems that use production equipment in the production workshop as the application object are even more rare [32]. However, there are more and more demands for equipment remote monitoring, fault diagnosis, and alarm systems at home and abroad, so the equipment health management system based on cloud platform has become the focus of attention and research in recent years [33].…”

Section: Introductionmentioning

confidence: 99%

Hydraulic Pump Fault Diagnosis Method Based on EWT Decomposition Denoising and Deep Learning on Cloud Platform

Jiang

Zhang

et al. 2021

Shock and Vibration

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An axial piston pump fault diagnosis algorithm based on empirical wavelet transform (EWT) and one-dimensional convolutional neural network (1D-CNN) is presented. The fault vibration signals and pressure signals of axial piston pump are taken as the analysis objects. Firstly, the original signals are decomposed by EWT, and each signal component is screened and reconstructed according to the energy characteristics. Then, the time-domain features and the frequency-domain features of the denoised signal are extracted, and features of time domain and frequency domain are fused. Finally, the 1D-CNN model was deployed to the WISE-Platform as a Service (WISE-PaaS) cloud platform to realize the real-time fault diagnosis of axial piston pump based on the cloud platform. Compared with ensemble empirical mode decomposition (EEMD) and complementary ensemble empirical mode decomposition (CEEMD), the results show that the axial piston pump fault diagnosis algorithm based on EWT and 1D-CNN has higher fault identification accuracy.

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Section: Introductionmentioning

confidence: 99%

Hydraulic Pump Fault Diagnosis Method Based on EWT Decomposition Denoising and Deep Learning on Cloud Platform

Jiang

Zhang

et al. 2021

Shock and Vibration

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Security Enhancement of Contactless Tachometer-Based Cyber Physical System

Saraf

Malathi

Shaw

2021

Machine Learning Approaches for Urban Computing

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Review of recent trends of advancements in multilevel inverter topologies with reduced power switches and control techniques

Choudhary,

Kumar,

Letha

et al. 2024

IET Power Electronics

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Currently, multilevel inverters (MLI) are comprehensively used to integrate renewable energy sources with the grid or high‐power applications. MLI has outstanding properties such as high‐level output voltage with tremendous power quality and negligible harmonics distortion. General MLI topologies have a more complex circuit, high overall cost and installation area. Due to a large number of power switches and isolation of control circuit, fewer power electronic switches and DC source along with its suitable control logic is the need of the hour. Therefore, a lot of research scope exists in this area. Here, some of the topologies with a fewer number of power switches are reviewed and scrutinized. An extensive analysis of the topologies, control strategy and applications are presented here, suggesting suitable multilevel inverter solutions to the known industrial application or new research.

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RETRACTED ARTICLE: Internet of Things Based Industrial Automation Using Brushless DC Motor Application with Resilient Directed Neural Network Control FED Virtual Z-Source Multilevel Inverter Topology

Cited by 5 publications

References 30 publications

Hydraulic Pump Fault Diagnosis Method Based on EWT Decomposition Denoising and Deep Learning on Cloud Platform

Hydraulic Pump Fault Diagnosis Method Based on EWT Decomposition Denoising and Deep Learning on Cloud Platform

Security Enhancement of Contactless Tachometer-Based Cyber Physical System

Review of recent trends of advancements in multilevel inverter topologies with reduced power switches and control techniques

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