Litcius/Paper detail

A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder

Wanxiang Li, Zhiwu Shang, Jie Zhang, Maosheng Gao, Shiqi Qian

2023Engineering Applications of Artificial Intelligence68 citationsDOI

Topics & Concepts

AutoencoderAnomaly detectionComputer sciencePattern recognition (psychology)Artificial intelligenceFault detection and isolationEncoderDeep learningActuatorOperating systemAnomaly Detection Techniques and ApplicationsMachine Fault Diagnosis TechniquesOccupational Health and Safety Research
A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder | Litcius