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A Single-Device Environment-Adaptive Mixed Reality Framework for Real-Time Industrial Fault DiagnosisLi, X.; Kang, B.; Tang, J.; Li, Q.; Wang, T.; Zhang, M. 一种面向实时工业故障诊断的单设备环境自适应混合现实框架. J. Dyn. Monit. Diagn. 2026, 5, 64–73. [Google Scholar] [CrossRef]
Li, Xueyi; Kang, Bo; Tang, Jing; Li, Qi; Wang, Tianyang; Zhang, Minwei
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收藏 A Comparative Study Between SDP-CNN and Time-Frequency-CNN-Based Approaches for Fault DetectionSpirto, M.; Melluso, F.; Nicolella, A.; Malfi, P.; Cosenza, C.; Savino, S.; Niola, V. 基于SDP-CNN和时间-频率-CNN方法进行故障检测的比较研究. J. Dyn. Monit. Diagn. 2025, 提前发布. [CrossRef]
Spirto, Mario; Melluso, Francesco; Nicolella, Armando; Malfi, Pierangelo; Cosenza, Chiara; Savino, Sergio; Niola, Vincenzo
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