Home ›
Entities
› academia
› Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment
Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment
Research article (Mechanical Systems and Signal Processing, 2015) · cited 160× · AI/ML
Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment
Summary
Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment is a scholarly article[1].
Key Facts
Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment. Retrieved May 24, 2026, from https://4ort.xyz/entity/mono-component-feature-extraction-for-mechanical-fault-diagnosis-using-modified-empirical-wavelet-transform-via-data-dri
MLA“Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mono-component-feature-extraction-for-mechanical-fault-diagnosis-using-modified-empirical-wavelet-transform-via-data-dri.
BibTeX@misc{4ortxyz_mono-component-feature-extraction-for-mechanical-fault-diagnosis-using-modified-empirical-wavelet-transform-via-data-dri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment}}, year = {2026}, url = {https://4ort.xyz/entity/mono-component-feature-extraction-for-mechanical-fault-diagnosis-using-modified-empirical-wavelet-transform-via-data-dri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment — https://4ort.xyz/entity/mono-component-feature-extraction-for-mechanical-fault-diagnosis-using-modified-empirical-wavelet-transform-via-data-dri (retrieved 2026-05-24)
