Advanced Instrumentation and Measurement Techniques for the Monitoring and Diagnosis of Smart Electrical Grids and Machines
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 604
Special Issue Editors
Interests: fault detection and diagnostics of induction machines; power quality; smart grids
Special Issues, Collections and Topics in MDPI journals
Interests: hardware signal processing and mechatronics
Special Issues, Collections and Topics in MDPI journals
Interests: digital signal processing; spectral analysis; time-frequency distributions; condition monitoring of electrical machines
Interests: time-frequency analysis of non-stationary signals; fault detection and diagnosis of electrical machines; close-loop electrical drives
Special Issue Information
Dear Colleagues,
Electrical installations and machines are an essential element of our current society, whose decarbonisation requires greater electrification that ensures the integration of renewable energies at all voltage levels (distributed generation) and the widespread use of electrical power in the industry, service sector, care sector, transport of goods and people, and residential and domestic sector. High levels of efficiency in the production, transportation, distribution, and use of electricity will contribute to the reduction of greenhouse gas emissions. For this to happen, all these installations and machines must operate correctly, with quality supply and uninterrupted operation. Therefore, reducing their unavailability and failure rates and increasing their reliability are also necessary. This can only be achieved through continuous monitoring and advanced systems that ensure knowledge of the condition of these systems to avoid catastrophic failures, observe inefficiencies in the systems, identify incipient failures, disturbances, and perturbations in the supply, and assess the electrical power quality and possible consequences. In this way, unplanned outages can be avoided, and the control and maintenance of these electrical systems and machines can be improved.
All this is possible thanks to the development of modern and advanced sensors, monitoring systems, signal storage, techniques for processing and analysis of captured signals, and systems for fault detection, diagnosis, control, and decision making. These are clear prerequisites for implementing smart grids or micro-grids.
Submissions to this Special Issue could cover some of the following topics of interest:
* Advanced sensors for capturing signals (voltage, current, temperature, images, infrared thermography, vibrations, sound, and magnetic flux) in renewable energy generation systems, installations, and electrical machines.
* Intelligent, robust, and reconfigurable systems based on DSP, FPGA, or other devices that ensure:
- Power quality analysis.
- Power factor prediction systems.
- Detection of disturbances and events in electrical networks and their components.
- Detection and diagnosis of faults in generators and electric motors.
- Detection and diagnosis of faults in photovoltaic generation systems and windmills.
* Advanced steady-state and transient signal processing techniques for monitoring electrical installations and machines.
* Advanced techniques for fault diagnosis and disturbance detection in electrical installations and machines based on advanced statistics, machine learning, artificial intelligence, and deep learning.
* Low-cost systems for monitoring electrical installations and machines.
* IoT systems for monitoring electrical installations and machines.
Prof. Dr. Daniel Morinigo-Sotelo
Prof. Dr. Rene Romero-Troncoso
Dr. Tomas A. Garcia-Calva
Dr. Vanesa Fernandez-Cavero
Guest Editors
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Keywords
- smart grids
- micro-grids
- smart metering and monitoring
- electrical machines
- power quality
- reconfigurable devices
- fault detection and diagnosis
- distributed generation
- machine learning and AI
- smart sensors
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