Sensor System and Signal Analysis in Automatic and Intelligent Manufacturing under Industry 4.0
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 609
Special Issue Editors
Interests: signal processing; computer vision; deep learning; neural network; image classification
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent Internet of Things; data analysis and application; pervasive computing
Interests: intelligent control; information processing; wind power generation control technology
Special Issue Information
Dear Colleagues,
Industry 4.0 is the fourth industrial revolution, dominated by automatic and intelligent manufacturing that improves the operation efficiency of society through various technologies, such as automatic production, intelligent control, and intelligent monitoring. Intelligent sensor techniques, especially signal analysis in sensor networks, have made breakthrough progress in many industrial production fields. Intelligent sensors contain a microprocessor, which has the ability to collect, process and exchange information. It is the product of the combination of sensor integration and the microprocessor. The breakthrough of wireless communications, machine learning and other theories has promoted the research and application of intelligent sensors. In fact, an intelligent system integrating sensors can be applied in many manufacturing fields. Machine vision modules collect data through sensors, and data-driven machine learning methods gain the ability of machine vision, forming a closed-loop system for wide application in various industries.
So far, sensor techniques have been deeply studied in theory by researchers around the world, and intelligent edge computing based on sensor systems has been widely used and developed in the industry. The purpose of this Special Issue is to gather a collection of articles on the latest research and developments in this field.
Dr. Qinghe Zheng
Dr. Yajun Zhang
Prof. Dr. Hui Hu
Dr. Lisu Yu
Guest Editors
Manuscript Submission Information
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Keywords
- sensors
- physical sensors
- intelligent sensors
- sensor network
- quality monitoring
- product inspection
- automatic production
- IoT applications
- pattern classification
