Multi-source unsupervised soft sensor based on joint distribution alignment and mapping structure preservation

Aiming at the problem of mismatch between real-time data distribution and modeling data distribution caused by the change of working conditions in industrial process, which leads to the performance deterioration of the soft sensor model, a multi-source unsupervised soft sensor method based on joint distribution alignment and mapping structure...

Kalman Filter Preview Control for Energy Savings of Large Scale Cascaded Belt Conveying Systems

In various industry productions belt conveyors are widely used for continuous dry bulk material transport. A large scale belt conveying system is generally composed of cascaded single conveyors consuming considerable electric power. According to DIN22101 regulating the belt speed and thereby maximizing the load on the belt may lead to a...

Infrared spectrum analysis method for detection and early warning of longitudinal tear of mine conveyor belt

A novel approach based on infrared spectrum analysis for early-warning of longitudinal tearing of the conveyor belt was proposed in the paper. Unlike most existing methods, the proposed method monitors the change process of the infrared radiation field of the longitudinal tearing through the infrared thermal imaging technology, and judges...

Integrative multi-spectral sensor device for far-infrared and visible light fusion

Infrared and visible light image fusion technology is a hot spot in the research of multi-sensor fusion technology in recent years. Existing infrared and visible light fusion technologies need to register before fusion because of using two cameras. However, the application effect of the registration technology has yet to be improved. Hence, a...

Time series forecasting based on deep extreme learning machine

Multi-layer Artificial Neural Networks (ANN) has caught widespread attention as a new method for time series forecasting due to the ability of approximating any nonlinear function. In this paper, a new local time series prediction model is established with the nearest neighbor domain theory, in which the hybrid Euclidean distance is used as...