Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment

Research article (Energies, 2022) · cited 24× · AI/ML
Press Enter · cited answer in seconds

Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment

Summary

Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment is a scholarly article[1].

Key Facts

  • Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment's Internet of Things Enabled Environment — instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/faults-feature-extraction-using-discrete-wavelet-transform-and-artificial-neural-network-for-induction-motor-availabilit
MLA “Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/faults-feature-extraction-using-discrete-wavelet-transform-and-artificial-neural-network-for-induction-motor-availabilit.
BibTeX @misc{4ortxyz_faults-feature-extraction-using-discrete-wavelet-transform-and-artificial-neural-network-for-induction-motor-availabilit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment}}, year = {2026}, url = {https://4ort.xyz/entity/faults-feature-extraction-using-discrete-wavelet-transform-and-artificial-neural-network-for-induction-motor-availabilit}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment — https://4ort.xyz/entity/faults-feature-extraction-using-discrete-wavelet-transform-and-artificial-neural-network-for-induction-motor-availabilit (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/faults-feature-extraction-using-discrete-wavelet-transform-and-artificial-neural-network-for-induction-motor-availabilit · Last refreshed: