A roller-bearing-based triboelectric nanosensor for freight train synergistic maintenance in smart transportation

Fang, Zheng; Zhou, Zijie; Yi, Minyi; Zhang, Zutao; Luo, Xiao; Ahmed, Ammar

doi:10.1016/j.nanoen.2022.108089

Cited by 34 publications

(8 citation statements)

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“…Energy harvesters transform human-related mechanical energy into electrical energy through various energy conversion mechanisms, mainly including electromagnetic, [65][66][67] piezoelectric, [68][69][70] triboelectric, [71][72][73] and hybridized energy conversion methods. The underlying principles and classification of these four energy conversion mechanisms are detailed below.…”

Section: Energy Conversion Methodsmentioning

confidence: 99%

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Zhang,

Shen,

Zheng

et al. 2023

Small Methods

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Amidst the swift progression of microelectronics and Internet of Things technology, wearable devices are gradually gaining ground in the domains of human health monitoring. Recently, human bioenergy harvesting has emerged as a plausible alternative to batteries. This paper delves into harvesting human inertial energy that stimulates inertial masses through human motion and then transmutes the motion of the inertial masses into electrical energy. The inertial energy harvester is better suited for low‐frequency and irregular human motion. This review first identifies the sources of human motion excitation that are compatible with inertial energy harvesters and then provides a summary of the operating principles and the comparisons of the commonly used energy conversion mechanisms, including electromagnetic, piezoelectric, and triboelectric transducers. The review thoroughly summarizes the latest advancements in human inertial energy‐harvesting technology that are categorized and grouped based on their excitation sources and mechanical modulation methods. In addition, the review outlines the applications of inertial energy harvesters in powering wearable devices, medical health monitoring, and as mobile power sources. Finally, the challenges faced by inertial energy‐harvesting technologies are discussed, and the review provides a perspective on the potential developments in the field.

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Section: Energy Conversion Methodsmentioning

confidence: 99%

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Zhang,

Shen,

Zheng

et al. 2023

Small Methods

Self Cite

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“…Based on the design of the inertial pendulum and motion conversion module, the system converts train vibration into unidirectional rotation and can reach a peak output power of 1.04 W. The bogie contains huge kinetic energy, and the vibration of the bogie can reflect the running state of the vehicle. [479] Further, Fang et al [460] proposed a triboelectric nanosensor based on roller bearings to detect the running state (steady state and instability) of freight trains, as shown in Figure 12e. Combining the preprocessing module and the LSTM deep learning module, the effective detection of the train running status can be realized, and the detection accuracy rate reaches 96.6%.…”

Section: Self-powered Microelectronics In Intelligent Transportationmentioning

confidence: 99%

Section: Typical Applications Of Self‐powered Microelectronicsmentioning

confidence: 99%

“…[ 479 ] Further, Fang et al. [ 460 ] proposed a triboelectric nanosensor based on roller bearings to detect the running state (steady state and instability) of freight trains, as shown in Figure 12e. Combining the preprocessing module and the LSTM deep learning module, the effective detection of the train running status can be realized, and the detection accuracy rate reaches 96.6%.…”

Section: Typical Applications Of Self‐powered Microelectronicsmentioning

confidence: 99%

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Recent Progress in Application‐Oriented Self‐Powered Microelectronics

Qi,

Kong,

Wang

et al. 2023

Advanced Energy Materials

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With the rapid development of the Internet of Things (IoTs), numerous distributed wide‐area low‐power electronic devices have been utilized in various fields, such as wireless monitoring sensors and wearable electronics. Due to the dispersion and mobility of microelectronic devices, their energy supply faces serious challenges. The inconvenience and non‐environmental friendliness of using traditional centralized low entropy energy and chemical batteries to power distributed microelectronic devices are becoming increasingly prominent. Environmental energy harvesting technology with high entropy characteristics is considered an effective solution for low‐power electronic devices. This paper comprehensively reviews the recent progress in microelectronic technologies based on energy harvesting and signal sensing. First, state‐of‐the‐art micro‐power electronic devices in humans, animals, and the environment are introduced. Secondly, the available micro‐energy sources in the environmentare elaborated and summarized. Then, the principles and characteristics of ambient microenergy harvesting technologies based on different mechanisms are classified, summarized, and analyzed. In addition, this work comprehensively summarizes the applications of self‐powered micro‐electronics technology in 11 different fields, including human, animal, and environment. Finally, research challenges, technical difficulties, and research gaps in self‐powered microelectronics based on micro‐energy harvesting technology are discussed and summarized.

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“…[ 1,2 ] On the one hand, with the help of energy harvesting technology, [ 3,4 ] it is very potential for these electronic devices to harvest human body energy (kinetic energy, [ 5,6 ] thermal energy, [ 7,8 ] and biochemical energy [ 9 ] ), and environmental energy (solar energy, [ 10 ] and radio frequency energy [ 11 ] ). On the other hand, with self‐powered sensing technology, [ 12–15 ] these electronic devices play a huge role in healthcare, [ 16 ] rehabilitation training, [ 17 ] sports monitoring, [ 18 ] disease diagnosis, [ 19 ] etc. Lower‐limb movements contain rich sensory information including personal identity and huge mechanical kinetic energy.…”

Section: Introductionmentioning

confidence: 99%

A Self‐Powered and Self‐Sensing Lower‐Limb System for Smart Healthcare

Kong

Fang

Zhang

et al. 2023

Advanced Energy Materials

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In the age of the artificial intelligence of things (AIoT), wearable devices have been extensively developed for smart healthcare. This paper proposes a self‐powered and self‐sensing lower‐limb system (SS‐LS) with negative energy harvesting and motion capture for smart healthcare. The SS‐LS achieves self‐sustainability via a half‐wave electromagnetic generator (HW‐EMG) that recovers negative work from walking with a low cost of harvesting. Additionally, the motion capture function of the system is achieved by the three‐channel triboelectric nanogenerator (TC‐TENG) based on binary code, which can accurately detect the angle and direction of the knee joint rotation. The bench test experiment indicates that the HW‐EMG has an average output power of 11.2 mW, sufficient to power a wireless sensor. The three‐channel voltage signal of TC‐TENG fits well with the binary signal, which can precisely detect the angle and direction of rotation. Furthermore, the SS‐LS demonstrates an identification accuracy of 99.68% and a motion detection accuracy of 99.96% based on an LSTM deep learning model. Demonstrations of Parkinson's disease and fall detection and monitoring of three training modes (sit‐and‐stand, balance, and walking training) are also performed, which exhibit outstanding sensing capabilities. The SS‐LS is highly promising in sports rehabilitation medicine and can contribute to the development of smart healthcare.

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A roller-bearing-based triboelectric nanosensor for freight train synergistic maintenance in smart transportation

Cited by 34 publications

References 50 publications

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Recent Progress in Application‐Oriented Self‐Powered Microelectronics

A Self‐Powered and Self‐Sensing Lower‐Limb System for Smart Healthcare

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