Smart Sensors Application in Predictive Maintenance
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (10 December 2023) | Viewed by 2984
Special Issue Editors
Interests: control systems; fuzzy control systems; neural network applications; sensor network applications; control of electric drives; power ultrasound applications; modeling; simulation
Special Issues, Collections and Topics in MDPI journals
Interests: 5G wireless communications; antennas and radio frequency based sensors; smart textile and wearable technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Some research directions for smart sensors can be considered, as follows. Sensors will become real smart sensors, characterized by the following: intelligent measurement units that self-monitor, transmit status diagnoses to the operating system, and create a reliable network of measurement and calibration data. Sensors will be used for the maintenance and security of machines and devices. Predictive maintenance for machines and devices will become increasingly more efficient, easier, cheaper, and improve uptime. In the future, maintenance will rely on sensors instead of being carried out according to a needs-based timetable. Safety will also improve because unsafe situations will be easily predicted. Autonomous wireless-connected sensors will be possible. Sensors will be self-learning over the entire lifespan without maintenance, modifications, or calibration. The possibilities and areas of application for robot technology will increase significantly. Old and new technologies at the chip level are arising. Transmitters, receivers, and printed circuit boards are becoming increasingly smaller, which will lead to more possibilities in sensor fusion. Synthetic sensors will be developed. Sensors will increasingly provide a better understanding of human behavior. Moreover, components will take over the role of human senses. Data will become more reliable and be collected continuously. Data will be converted into useful information using intelligent software and algorithms. This will lead humans to set other requirements with respect to air quality, travel, automobile maintenance, lifestyle, insurance, energy consumption, etc. Fully automated management of livestock is possible. Precision agriculture will also be within reach. Farmer’s yields will improve so much that they will be better able to compete with high-quality yields and crop yields. Sensors will be increasingly used to research soil quality, climate, crops, diseases, plagues, and weeds. New control systems will equip autonomous vehicles with real vision. Cities will become more intelligent and ecosystem-friendly. Flood management, air quality, parking, safe playgrounds, monumental trees will remain, and soil conditions will improve. Sensors will improve the environment, improve energy management, and build green office buildings. Sensor technology will be integrated into every aspect of human lives.
Prof. Dr. Constantin Volosencu
Prof. Dr. Boon-Chong Seet
Guest Editors
Manuscript Submission Information
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Keywords
- smart sensors
- machine and device maintenance
- autonomous sensors
- self learning techniques
- robots
- sensor fusion
- human behavior
- human senses
- agriculture
- ecosystems
