Fault Detection and Localization Using Electromagnetic Sensors

Dear Colleagues,

• A Special Issue (SI) under the title “Fault Detection and Localization using Electromagnetic Sensors” is proposed to address the ever present and increasing societal needs for accurate detection, localization and characterization of faults within engineered components, processes and systems. This is to avoid the loss of monetary value, ensure safety and reduce wastage as well as to facilitate precise monitoring, diagnosis, and therapy of biological processes associated with human health and wellbeing in order to avoid onset and enable prevention and early treatment of illnesses.
• The aim of this SI is to attract original research and review article submissions addressing applications relevant fault detection and localization related to manufacturing process quality control; power generation, distribution and conversion systems; materials characterization, testing and processing; structural integrity condition monitoring; medical and biomedical applications including physiological and pathological condition sensing and therapeutic purposes; electromechanical machinery health monitoring and diagnostics by utilizing the broadest range of electromagnetic (EM) sensor technologies, i.e. not limited to inductive or proximity sensors alone.
• Paper submissions reporting state-of-the-art and innovative detection and localization methods and techniques, including electromagnetic signature quantification and visualization, used in conjunction with existing EM sensing technologies are welcome, while new EM sensor architectures – for example based on printed or three-dimensional structures – will also be considered.
• The submitted articles will demonstrate in detail the specific fault cases investigated at a system level, the mechanisms triggering such faults, the direct consequences of the faults on the component or system performance, and will describe in detail how the EM sensors are used to detect and localize these faults and the levels of detection accuracy.
• Paper submissions may report on the detection and localization technique improvements using existing electromagnetic sensor technologies and systems or propose new EM sensor structures. The manuscripts will demonstrate and discuss how the detected and localized faults within the systems are mitigated and their impact is minimized or eliminated after successful fault detection and localization.

• The proposed topic “Fault Detection and Localization using Electromagnetic Sensors” aligns with the scope of "Sensors" in a number of ways. The electromagnetic interactions with engineered or natural objects can be exploited for sensing purposes whereby the resulting electromagnetic signature of the interaction is used to detect the presence or absence of the difference or change in the state of the considered reference state of the studied object. Such electromagnetic interaction signatures can be, in turn, sensed and measured using electromagnetic specially constructed devices. The measurement of the change of the state relies on the inherent response of the measuring electromagnetic device signal output, which can be detected and interpreted directly or with the aid of additional hardware. In this respect the detecting process of the change of state of the object is achieved using an electromagnetic sensor and the process of signal interpretation. All such processes are directly related to the technology of sensors and technological process of sensing and measurement.

Prof. Jan Sykulski
Dr. Aleksas Stuikys
Guest Editors

Manuscript Submission Information

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• Fault signature electromagnetic analysis
• Integrated electromagnetic sensing and monitoring
• Comprehensive fault and defect characterization
• Fault and defect characterization accuracy
• Medical and biomedical electromagnetic sensing
• Non-destructive evaluation (NDE)
• Multi-frequency techniques
• Fault detection data fusion techniques
• Electromagnetic sensor arrays and systems
• Printed, flexible and 3D electromagnetic sensors
• Fault detection using remote electromagnetic sensing