Pub Date : 2023-06-01DOI: 10.1109/MIM.2023.10146566
Tommaso Polonelli, J. Deparday, I. Abdallah, S. Barber, E. Chatzi, M. Magno
Wind energy as a renewable energy source has gained in popularity in recent years as a viable means to replacing fossil fuels [1]. Wind turbines form extremely sophisticated systems, operating under extreme and time-varying loads of polymorphic nature (e.g., wind, waves) and under adverse environments (highly varying temperatures and icing conditions). This implies that beyond the operation of mechanical components such as the gearbox, the robustness and resilience of structural components are of the essence but certainly overlooked so far in terms of monitoring. The operation of wind turbines relies on the use of supervisory control and data acquisition (SCADA) systems for their monitoring and control [2]. These systems typically measure operational quantities in and around the nacelle [3], such as wind speed and direction, generator temperature, as well as the generated power [4], and are provided as ten-minute averages. Currently, no standard monitoring solution exists that can be easily integrated to assess the performance of critical structural components, such as the blades (e.g., its aerodynamics) [5]. However, the need for this is becoming increasingly important as wind turbine dimensions rapidly increase and blades become more flexible [1]. Such integrated monitoring systems would need to withstand harsh weather and operational conditions on a blade, which is a nontrivial task. This makes published measurements on operating rotor blades in real conditions extremely rare [6]. However, recent advances in electronics, wireless communications, and micro-electromechanical systems (MEMS) have enabled the acquisition of data directly on the blade, in a cost-effective and energy-efficient way [7].
{"title":"Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines","authors":"Tommaso Polonelli, J. Deparday, I. Abdallah, S. Barber, E. Chatzi, M. Magno","doi":"10.1109/MIM.2023.10146566","DOIUrl":"https://doi.org/10.1109/MIM.2023.10146566","url":null,"abstract":"Wind energy as a renewable energy source has gained in popularity in recent years as a viable means to replacing fossil fuels [1]. Wind turbines form extremely sophisticated systems, operating under extreme and time-varying loads of polymorphic nature (e.g., wind, waves) and under adverse environments (highly varying temperatures and icing conditions). This implies that beyond the operation of mechanical components such as the gearbox, the robustness and resilience of structural components are of the essence but certainly overlooked so far in terms of monitoring. The operation of wind turbines relies on the use of supervisory control and data acquisition (SCADA) systems for their monitoring and control [2]. These systems typically measure operational quantities in and around the nacelle [3], such as wind speed and direction, generator temperature, as well as the generated power [4], and are provided as ten-minute averages. Currently, no standard monitoring solution exists that can be easily integrated to assess the performance of critical structural components, such as the blades (e.g., its aerodynamics) [5]. However, the need for this is becoming increasingly important as wind turbine dimensions rapidly increase and blades become more flexible [1]. Such integrated monitoring systems would need to withstand harsh weather and operational conditions on a blade, which is a nontrivial task. This makes published measurements on operating rotor blades in real conditions extremely rare [6]. However, recent advances in electronics, wireless communications, and micro-electromechanical systems (MEMS) have enabled the acquisition of data directly on the blade, in a cost-effective and energy-efficient way [7].","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"12-18"},"PeriodicalIF":2.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62552885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.1109/mim.2023.10146562
Reza Zoughi
{"title":"From the Society: A Message for the I&M Society Members & the I&M Magazine Readers","authors":"Reza Zoughi","doi":"10.1109/mim.2023.10146562","DOIUrl":"https://doi.org/10.1109/mim.2023.10146562","url":null,"abstract":"","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135982983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/mim.2023.10121385
C. Trigona, O. Kanoun
{"title":"Guest Editorial: Special Issue on \"Energy Harvesting in the Instrumentation and Measurement Framework\"","authors":"C. Trigona, O. Kanoun","doi":"10.1109/mim.2023.10121385","DOIUrl":"https://doi.org/10.1109/mim.2023.10121385","url":null,"abstract":"","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"35 4 1","pages":"3-4"},"PeriodicalIF":2.1,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75656235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/MIM.2023.10121413
Marko Gazivoda, V. Bilas
With the growing need to monitor, understand and manage our surroundings, the demand for wireless sensor networks has been constantly increasing. To make practical application of wireless sensor networks possible, their sensor nodes utilize specialized low-power always-on wake-up detectors to increase their energy efficiency. Advances in energy conversion and harvesting techniques and utilization of micro- and nano-electromechanical systems allow for development of autonomous wake-up detectors, powered by ambient or event energy.
{"title":"Energy Autonomous Wake-Up Detectors","authors":"Marko Gazivoda, V. Bilas","doi":"10.1109/MIM.2023.10121413","DOIUrl":"https://doi.org/10.1109/MIM.2023.10121413","url":null,"abstract":"With the growing need to monitor, understand and manage our surroundings, the demand for wireless sensor networks has been constantly increasing. To make practical application of wireless sensor networks possible, their sensor nodes utilize specialized low-power always-on wake-up detectors to increase their energy efficiency. Advances in energy conversion and harvesting techniques and utilization of micro- and nano-electromechanical systems allow for development of autonomous wake-up detectors, powered by ambient or event energy.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"21-25"},"PeriodicalIF":2.1,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49148701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/MIM.2023.10121388
O. Kanoun, Ghada Bouattour, Sabrine Khriji, Kholoud Hamza, Abdallah Adawy, S. Bradai
The railroad is a particularly efficient means of transporting passengers and goods. In this field, safety, reliability, and punctuality are of great importance, despite harsh environmental conditions and variable loads. Predictive maintenance of train wagons, rails, and stations is becoming increasingly essential [1] and requires massive use of sensors for measuring relevant quantities, such as acceleration, temperature, pressure, strain, and changes in railroad tracks and train wheels.
{"title":"Sustainable Wireless Sensor Networks for Railway Systems Powered by Energy Harvesting from Vibration","authors":"O. Kanoun, Ghada Bouattour, Sabrine Khriji, Kholoud Hamza, Abdallah Adawy, S. Bradai","doi":"10.1109/MIM.2023.10121388","DOIUrl":"https://doi.org/10.1109/MIM.2023.10121388","url":null,"abstract":"The railroad is a particularly efficient means of transporting passengers and goods. In this field, safety, reliability, and punctuality are of great importance, despite harsh environmental conditions and variable loads. Predictive maintenance of train wagons, rails, and stations is becoming increasingly essential [1] and requires massive use of sensors for measuring relevant quantities, such as acceleration, temperature, pressure, strain, and changes in railroad tracks and train wheels.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"33-38"},"PeriodicalIF":2.1,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42349926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/MIM.2023.10121384
P. Michael, Danvers E. Johnston, Wilfrido Moreno
Many indoor sensors are powered by artificial-light-harvesting photovoltaic (PV) cells. The performance evaluation and application of PV devices require irradiance measurement to determine input power. Standard solar irradiance meters provide measurements calibrated to sunlight spectra and do not have the low-light-level capability needed for indoor applications. Light meters, specifically designed for human visible artificial light applications, measure illuminance. This article describes a low-cost method to calculate irradiance from illuminance measurement of artificial light sources. An application example is provided.
{"title":"Calculation of Irradiance from Illuminance for Artificial Light Photovoltaics Applications","authors":"P. Michael, Danvers E. Johnston, Wilfrido Moreno","doi":"10.1109/MIM.2023.10121384","DOIUrl":"https://doi.org/10.1109/MIM.2023.10121384","url":null,"abstract":"Many indoor sensors are powered by artificial-light-harvesting photovoltaic (PV) cells. The performance evaluation and application of PV devices require irradiance measurement to determine input power. Standard solar irradiance meters provide measurements calibrated to sunlight spectra and do not have the low-light-level capability needed for indoor applications. Light meters, specifically designed for human visible artificial light applications, measure illuminance. This article describes a low-cost method to calculate irradiance from illuminance measurement of artificial light sources. An application example is provided.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"52-58"},"PeriodicalIF":2.1,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44660583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1109/MIM.2023.10121408
A. Alneamy, H. Samaali, F. Najar
This work is concerned with the design of a microelectromechanical system (MEMS) device that can harvest kinetic energy from its environment using only classical microfabrication techniques. The device is composed of a cantilever beam, where a proof mass is linked to its tip in order to tune the natural frequency of the device. Two stationary electrodes are standing side by side with the cantilever beam to form two out-of-phase variable capacitances with a rotary interdigitated design suitable for flexural bending motions. A Bennet doubler is implemented as a conditioning circuit while taking advantage of the variable capacitances to harvest the kinetic energy of the beam. Finite element modeling is used to estimate the variation of the capacitance and deduce an analytical model from the results. For the dynamic response, a reduced-order model based on a single-mode projection is derived and numerically solved, from the equation of motion of the beam. The response of the system depicts a clear benefit regarding the harvested energy kept in a storage capacitance.
{"title":"Electrostatic Energy Harvesting of Kinetic Motions Using a MEMS Device and a Bennet Doubler Conditioning Circuit","authors":"A. Alneamy, H. Samaali, F. Najar","doi":"10.1109/MIM.2023.10121408","DOIUrl":"https://doi.org/10.1109/MIM.2023.10121408","url":null,"abstract":"This work is concerned with the design of a microelectromechanical system (MEMS) device that can harvest kinetic energy from its environment using only classical microfabrication techniques. The device is composed of a cantilever beam, where a proof mass is linked to its tip in order to tune the natural frequency of the device. Two stationary electrodes are standing side by side with the cantilever beam to form two out-of-phase variable capacitances with a rotary interdigitated design suitable for flexural bending motions. A Bennet doubler is implemented as a conditioning circuit while taking advantage of the variable capacitances to harvest the kinetic energy of the beam. Finite element modeling is used to estimate the variation of the capacitance and deduce an analytical model from the results. For the dynamic response, a reduced-order model based on a single-mode projection is derived and numerically solved, from the equation of motion of the beam. The response of the system depicts a clear benefit regarding the harvested energy kept in a storage capacitance.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"14-20"},"PeriodicalIF":2.1,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42124315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：