Industrial Instrument and Intelligent Measurement

Topic Information

Dear Colleagues,

Industrial instrumentation and measurement technology form the critical foundation for modern industrial systems, enabling precise monitoring, control, and optimization of production processes. With the rapid advancement of sensing technologies, data analytics, and artificial intelligence, the field of industrial measurement is undergoing a profound intelligent transformation. The integration of AI, machine learning, and the Industrial Internet of Things (IIoT) with traditional measurement instruments is giving rise to a new generation of intelligent measurement systems. These systems are capable of self-diagnosis, adaptive sensing, real-time data processing, and predictive decision-making, thereby significantly enhancing the efficiency, reliability, and safety of industrial operations across diverse sectors such as manufacturing, energy, transportation, and civil infrastructure.

This Topic, “Industrial Instrument and Intelligent Measurement,” aims to compile the latest research and innovative applications at the intersection of advanced instrumentation, intelligent sensing, and data-driven measurement science. We seek to explore how intelligent algorithms and novel sensor technologies are revolutionizing measurement paradigms, ranging from non-destructive testing (NDT) and structural health monitoring (SHM) to precision metrology and process control.

We invite researchers and engineers to contribute original research articles and comprehensive reviews that address both theoretical developments and practical challenges. Topics of interest include, but are not limited to:

• Novel designs, materials, and technologies for intelligent industrial sensors and instruments.
• The fusion of AI and machine learning with measurement systems for anomaly detection, predictive maintenance, and quality assessment.
• Advanced signal and data processing techniques for industrial measurement, including noise reduction, feature extraction, and real-time analytics.
• Intelligent NDT&E technologies (e.g., ultrasonic, electromagnetic, optical) and their applications in railways, aerospace, pipelines, and special equipment.
• UAV-based intelligent inspection platforms with multi-sensor payloads (e.g., LiDAR, electromagnetic, optical) for autonomous monitoring of pipelines, power lines, and critical infrastructure.
• Autonomous UAV path planning, obstacle avoidance, and terrain-following technologies for aerial measurement in complex and unstructured environments.
• Multi-sensor fusion and IIoT-based measurement networks for complex industrial environments.
• Smart calibration, self-validation, and reliability enhancement of measurement instruments.
• Case studies demonstrating the impact of intelligent measurement on industrial productivity, safety, and sustainability.
• Emerging trends, such as digital twins for measurement systems and edge computing for distributed sensing.

This collection will provide a platform for sharing cutting-edge insights and fostering discussions on the future of intelligent industrial measurement. We look forward to your valuable contributions.

Prof. Dr. Qibo Feng
Dr. Lisha Peng
Dr. Hongyu Sun
Dr. Luyao He
Dr. Xiang Gao
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Acoustics acoustics	1.2	2.6	2019	23.3 Days	CHF 1600	Submit
Actuators actuators	2.3	4.3	2012	20.9 Days	CHF 2400	Submit
AI Sensors aisens	-	-	2025	15.0 days *	CHF 1000	Submit
Applied Sciences applsci	2.5	5.5	2011	16 Days	CHF 2400	Submit
Instruments instruments	-	3.3	2017	22.8 Days	CHF 1400	Submit
Metrology metrology	1.5	2.6	2021	32.8 Days	CHF 1200	Submit
NDT ndt	-	-	2023	27.8 Days	CHF 1000	Submit
Sensors sensors	3.5	8.2	2001	17.8 Days	CHF 2600	Submit

* Median value for all MDPI journals in the second half of 2025.

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