Abstract
Information technologies are permeating all aspects of manufacturing systems as well as other fields, expediting the generation of industrial big data. Traditionally, the devices collected the sensor data from various sources, and information fusion was then performed. This incurs higher burden of time and storage cost. Recently, more and more intelligent devices are equipped in the industrial environment. This provides more opportunities for better data collection and processing for industrial intelligence. Active perception technology, which performs control strategies on the data acquisition process, enables the devices to seamlessly integrate the perception and action to reach high-level goals rather than to accomplish low-level commands. It helps to select more useful information and may save the life of the sensors. However, there exist many unsolved challenging problems since the feedback is performed on complex processed sensory data, i.e., various extracted features