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HYBRID-AMMS: ATTENTION-GATED MULTI-MODAL CNN-BILSTM FUSION FOR PREDICTIVE FAULT DIAGNOSIS IN SMART MANUFACTURING SYSTEMS
编号：107 访问权限：仅限参会人 更新：2026-11-10 16:47:17 浏览：7次 Online

报告开始：2026年11月21日 13:30（Asia/Kolkata）

报告时间：15min

所在会场：[S7] Networking, Security and Blockchain Systems [S7-2] Networking, Security and Blockchain Systems

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摘要
In industry 4.0, manufacturing systems have seen rapid advancements where high load processing and heterogenous sensing data coming from rotating machines, process lines, and agriculture mechanization systems is processed. In this paper, we present a new deep learning architecture called Hybrid-AMMS (Hybrid Attention-Gated Multi-Modal System) that combines multi-scale parallel convolutional encoder, bi-directional LSTM temporal encoder and multi-head self-attention mechanism to develop an end-to-end trainable solution to perform joint real-time classification of fault classes as well as its severity and remaining useful life prediction. Using an ablation study to quantify contribution of each component of the system, Hybrid-AMMS achieves 96.8% accuracy with an F1-Score of 0.966 and AUC-ROC of 0.974 on a new benchmark comprising five classes of five modalities and 6000 labeled samples of CNC machining centres and combine harvesters, outperforming strongest baseline model by +5.6 percent (+14% relative improvement). The inference latency is low at 7.8 ms. ASHAP based attribution provides necessary interpretability for industrial deployment.
 
关键词
Industry 4.0, CNC, LSTM, Hybrid-AMMS
报告人
PONNI VALAVAN M
ASSISTANT PROFESSOR K.Ramakrishnan College of Engineering；TRICHY -TAMILNADU

稿件作者
Parasa Gayatri Amrita Vishwa Vidyapeetham, Amaravati, AP, India. p_gayathri@av.amrita.edu
Nallametti Nagarjuna CVR College of Engineering,Hyderabad, Telangana, India.
Dr Madhusudhanan S Rajalakshmi Engineering College, Rajalakshmi Nagar, Thandalam, Chennai, India
SARANGAM KODATI CVR College of Engineering； Hyderabad
Anandakumar Haldorai Sri Eshwar College of Engineering
Karthik M K.Ramakrishnan College of Engineering； Trichy
PONNI VALAVAN M K.Ramakrishnan College of Engineering；TRICHY -TAMILNADU
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重要日期

  • 会议日期

    11月20日

    2026

    至

    11月22日

    2026

  • 10月31日 2026

    初稿截稿日期

  • 11月07日 2026

    提前注册日期

  • 11月22日 2026

    注册截止日期

主办单位
United Societies of Science
承办单位
Pondicherry University
协办单位
IEEE Section
IEEE Madras Section
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