Renuka Surendra Deshpande

A Hybrid CNN-BiLSTM Deep Learning Framework for Predictive Maintenance in Industry 4.0 Using Multivariate Time-Series Sensor Data

A hybrid deep learning framework combining Convolutional Neural Networks for local spatial feature extraction and Bidirectional Long Short-Term Memory with a temporal attention mechanism for capturing long-range degradation trends in multivariate time-series sensor data is proposed.