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One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection
Research article (IEEE Transactions on Instrumentation and Measurement, 2023) · cited 29× · AI/ML
One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection
Summary
One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection is a scholarly article[1].
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One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/one-dimensional-residual-ganomaly-network-based-deep-feature-extraction-model-for-complex-industrial-system-fault-detect
MLA“One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/one-dimensional-residual-ganomaly-network-based-deep-feature-extraction-model-for-complex-industrial-system-fault-detect.
BibTeX@misc{4ortxyz_one-dimensional-residual-ganomaly-network-based-deep-feature-extraction-model-for-complex-industrial-system-fault-detect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection}}, year = {2026}, url = {https://4ort.xyz/entity/one-dimensional-residual-ganomaly-network-based-deep-feature-extraction-model-for-complex-industrial-system-fault-detect}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection — https://4ort.xyz/entity/one-dimensional-residual-ganomaly-network-based-deep-feature-extraction-model-for-complex-industrial-system-fault-detect (retrieved 2026-05-24)
