A robust, &amp;#x2212;40&amp;#x00B0; to +150&amp;#x00B0;C wireless rotor temperature monitoring system based on a fully passive UHF RFID sensor tag

Solar, Héctor; Beriain, Andoni; Zalbide, Ibon; D'Entremont, Eduardo; Berenguer, Roc

doi:10.1109/mwsym.2014.6848480

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…Tags could detect changes in movement, stress, strain, vibration, tilt, etc., often to control the state of a structure, as varied as that may be (tightening of a screw, building, aircraft wing) [ 43 , 44 , 45 , 46 , 47 ], humidity, temperature, moisture [ 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ], corrosion and chemicals [ 56 , 57 , 58 , 59 , 60 ], and also pressure, light level, audible feedback, or biometric data, etc. Note that most of these measures can be absolute or relative, for example, to detect the passage of a threshold.…”

Section: Rfid Sensor Tagsmentioning

confidence: 99%

From Identification to Sensing: RFID Is One of the Key Technologies in the IoT Field

Duroc

2022

Sensors

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RFID (radio frequency identification) technology appeared nearly 70 years ago. Deployed more widely only from the early 2000s, it is now booming and its development is still accelerating. As its name indicates, its original function was the identification (of objects, animals, people) and its applications were then essentially aimed at traceability, access control and logistics. If this type of use is still relevant today with more and more new application contexts and more and more efficient RFID tags, RFID has also evolved by integrating new capabilities. These new tags, known as augmented tags, include an information capture function. With the explosion of connected objects and the emergence of the Internet of Things (IoT), this old technology that is RFID still has a promising future and will probably be more and more present in our private and professional environments in all fields: logistics, industry, agriculture, building, health and even space.

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Section: Rfid Sensor Tagsmentioning

confidence: 99%

From Identification to Sensing: RFID Is One of the Key Technologies in the IoT Field

Duroc

2022

Sensors

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“…Nowadays, there are some available approaches for obtaining the temperature of the high-speed rotor, including the infrared thermometer sensor [6,7], the wireless communication equipment (Bluetooth, WIFI, IR LED, or RFID) [6,8,9], the slip-rings on the shaft [10], flux observer [11][12][13], voltage signal injection, and so on.…”

Section: Introductionmentioning

confidence: 99%

Research on the speed‐dependence of heat convection in high‐speed EV motors and its application in the model‐based rotor temperature monitoring technology

Dong

Nakamura

2022

IET Electric Power Appl

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Using the embedded onboard digital thermal model is an economical and effective way to monitor the rotor temperatures of the electric vehicle (EV) propulsion Permanent Magnet Synchronous Motor (PMSM) in real‐time. The onboard thermal model is generally in an analytical form with constant thermal resistances. However, in practical situations, the thermal convection intensities on the surfaces of the air gap and the end‐cavity vary significantly with the rotational speed, producing a non‐negligible influence on the estimation accuracy of the onboard thermal model. Aiming at eliminating this error and improving the accuracy, this paper explores the variation of the airflow's aerodynamics characteristics and the heat convection with the rotational speed through a syncretic study of theoretical, experimental, and numerical methods. It is found that the changing trend of the airflow presents a multi‐stage characteristic in the speed range of 0–12,000 rpm. The speed‐dependent convective thermal resistances are formulaically parameterised and then used to replace the related constant thermal resistances in the thermal model. The standard vehicle driving cycle test result shows that this optimisation brings a nearly 11% reduction of the overall estimation error.

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“…There are basically two challenges for placing sensors in the rotor, energizing the transducer/sensor and transmitting data. With the rotation, the options found to solve these problems are: Wireless energizing: Batteries [ 5 , 7 , 8 ]; Collector rings; RFID (Radio Frequency Identification) [ 9 ]; SAW (Surface Acoustic Wave) [ 10 ]; WPT (Wireless Power Transfer) [ 4 ]. Wireless data transmission: RF (Radio Frequency); 2.4 GHz [ 5 , 7 , 10 , 11 ]; 433 MHz [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

“… Wireless data transmission: RF (Radio Frequency); 2.4 GHz [ 5 , 7 , 10 , 11 ]; 433 MHz [ 12 ]. RFID (Radio Frequency Identification) [ 9 ]; SAW (Surface Acoustic Wave) [ 10 ]; IrDA (Infrared Data Association) [ 8 ]. …”

Section: Introductionmentioning

confidence: 99%

Wireless Monitoring of Induction Machine Rotor Physical Variables

Fernandes

Souza

Maniçoba

et al. 2017

Sensors

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With the widespread use of electric machines, there is a growing need to extract information from the machines to improve their control systems and maintenance management. The present work shows the development of an embedded system to perform the monitoring of the rotor physical variables of a squirrel cage induction motor. The system is comprised of: a circuit to acquire desirable rotor variable(s) and value(s) that send it to the computer; a rectifier and power storage circuit that converts an alternating current in a continuous current but also stores energy for a certain amount of time to wait for the motor’s shutdown; and a magnetic generator that harvests energy from the rotating field to power the circuits mentioned above. The embedded system is set on the rotor of a 5 HP squirrel cage induction motor, making it difficult to power the system because it is rotating. This problem can be solved with the construction of a magnetic generator device to avoid the need of using batteries or collector rings and will send data to the computer using a wireless NRF24L01 module. For the proposed system, initial validation tests were made using a temperature sensor (DS18b20), as this variable is known as the most important when identifying the need for maintenance and control systems. Few tests have shown promising results that, with further improvements, can prove the feasibility of using sensors in the rotor.

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A robust, −40° to +150°C wireless rotor temperature monitoring system based on a fully passive UHF RFID sensor tag

Cited by 9 publications

References 7 publications

From Identification to Sensing: RFID Is One of the Key Technologies in the IoT Field

From Identification to Sensing: RFID Is One of the Key Technologies in the IoT Field

Research on the speed‐dependence of heat convection in high‐speed EV motors and its application in the model‐based rotor temperature monitoring technology

Wireless Monitoring of Induction Machine Rotor Physical Variables

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