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MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission
Research article (Measurement, 2023) · cited 45× · AI/ML
MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission
Summary
MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission is a scholarly article[1].
Key Facts
MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission's instance of is recorded as scholarly article[2].
References
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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). MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission. Retrieved May 24, 2026, from https://4ort.xyz/entity/mfcc-lstm-framework-for-leak-detection-and-leak-size-identification-in-gas-liquid-two-phase-flow-pipelines-based-on-acou
MLA“MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mfcc-lstm-framework-for-leak-detection-and-leak-size-identification-in-gas-liquid-two-phase-flow-pipelines-based-on-acou.
BibTeX@misc{4ortxyz_mfcc-lstm-framework-for-leak-detection-and-leak-size-identification-in-gas-liquid-two-phase-flow-pipelines-based-on-acou_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission}}, year = {2026}, url = {https://4ort.xyz/entity/mfcc-lstm-framework-for-leak-detection-and-leak-size-identification-in-gas-liquid-two-phase-flow-pipelines-based-on-acou}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission — https://4ort.xyz/entity/mfcc-lstm-framework-for-leak-detection-and-leak-size-identification-in-gas-liquid-two-phase-flow-pipelines-based-on-acou (retrieved 2026-05-24)
