Sensors and Sensing Systems for Condition Monitoring—2nd Edition

Dear Colleagues,

Condition monitoring has made considerable progress in recent years as a major component of predictive machinery maintenance in both industry and transportation. Based on signals and data derived from sensors and sensing systems, condition monitoring technologies provide information regarding the status and future evolution of the health conditions of machinery and plants, which is of vital importance for guaranteeing the efficiency and reliability of engineering assets.

The design of sensors and sensing systems for condition monitoring addresses multidisciplinary complex problems pertaining to sensing materials, measurement techniques, electronics for hazardous environments, linear and nonlinear signal processing, data fusion, data mining, energy harvesting, and sensor networks.

The aim of this Special Issue is to attract high-quality, innovative, and original works related but not restricted to the abovementioned research fields, including the following topics relevant to condition monitoring:

• Condition monitoring methods, technologies, and systems;
• Sensors, sensing materials, and sensing systems;
• Electronic measurement systems for hazardous environments;
• Front-end electronics and signal conditioning;
• Signal processing techniques;
• Model- and data-driven prognostics;
• Artificial intelligence, machine learning, feature extraction, and pattern recognition;
• Data fusion and data mining;
• Energy harvesting;
• Sensor networks;
• Intelligent devices and components.

Prof. Dr. Ada Fort
Prof. Dr. Tommaso Addabbo
Guest Editors

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