A multi-sensor fusion-based prognostic model for systems with partially observable failure modes

• Published in: IIE transactions Vol. ahead-of-print; no. ahead-of-print; pp. 1 - 14
• Main Authors: Wu, Hui, Li, Yan-Fu
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.06.2024; Taylor & Francis Ltd
• Subjects: Aircraft engines; Communications technology; Complex systems; Data fusion; Degradation; Failure modes; Feature extraction; functional principal components analysis; Multisensor fusion; Regression models; Semi-supervised learning; Sensors; Turbofan engines

With the rapid development of sensor and communication technology, multi-sensor data is available to monitor the degradation of complex systems and predict the failure modes. However, two huge challenges remain to be resolved: (i) how to predict the failure modes with limited failure mode labeled sy...