scholarly journals A Self-Powered Engine Health Monitoring System Based on L-Shaped Wideband Piezoelectric Energy Harvester

Micromachines ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 629 ◽  
Author(s):  
Shuxin Shi ◽  
Qiuqin Yue ◽  
Zuwei Zhang ◽  
Jun Yuan ◽  
Jielin Zhou ◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Energy Harvester ◽  
Simulation Analysis ◽  
Sensor Nodes ◽  
Vibration Energy Harvester ◽  
Health Monitoring System ◽  
Piezoelectric Energy ◽  
Element Simulation ◽  
Self Powered

Engine health monitoring is very important to maintain the life of engines, and the power supply to sensor nodes is a key issue that needs to be solved. The piezoelectric vibration energy harvester has attracted much attention due to its obvious advantages in configuration, electromechanical conversion efficiency, and output power. However, the narrow bandwidth has restricted its practical application. A self-powered engine health monitoring system was proposed in this paper, and an L-shaped wideband piezoelectric energy harvester was designed and implemented. The L-shaped beam-mass structure and the piezoelectric bimorph cantilever beam structure was combined to form the wideband piezoelectric energy harvester configuration, which realized effective output at both resonance points. The theoretical model and finite element simulation analysis of the wideband piezoelectric energy harvester were proposed and the parameters were optimized based on that to meet the requirement of the vibration frequency of the engine. The experimental results show that the proposed energy harvester can be applied into the automobile engine health monitoring system. Engine signal analysis results also demonstrate that the proposed system can be used for engine health monitoring.

The Bridge Health Monitoring System Based on SCM

2012 ◽  
Vol 226-228 ◽  
pp. 1661-1664
Author(s):  
Xiao Ling Zhu ◽  
Xue Li Chen ◽  
Ying Yao
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Health Condition ◽  
Sensor Nodes ◽  
Structure Characteristic ◽  
Control Center ◽  
Health Monitoring System ◽  
Bridge Health Monitoring ◽  
Characteristic Signal ◽  
Measurement And Control

It plays a very important role for the national economy and social security to gain bridge structure characteristic signal scientifically, to evaluate the bridge health condition and to guarantee long-term safe operation. The bridge health monitoring system is a major technique to settle those problems, which is in charge of working status inspection, health detection and alarm via field data, providing a solid safeguard for well-balanced operation of the bridge as well as the security of people’s life and property. This paper proposes a bridge health monitoring system based on wireless sensor network, which collects information of each mechanical part of the bridge. Sensor nodes form a smart measurement, and control network through self-organization, then transmit to the control center through network, by this way we can achieve real-time automatic remote monitoring on the bridge health.

Design under uncertainty for reliable power generation of piezoelectric energy harvester

2017 ◽  
Vol 28 (17) ◽  
pp. 2437-2449 ◽  
Author(s):  
Sumin Seong ◽  
Chao Hu ◽  
Soobum Lee
Keyword(s):  
Power Generation ◽  
Optimum Design ◽  
Energy Harvester ◽  
Research Effort ◽  
Optimization Method ◽  
Operating Conditions ◽  
Vibration Energy ◽  
Vibration Energy Harvester ◽  
Piezoelectric Energy ◽  
Self Powered

In recent years, vibration energy harvesters have been widely studied to build self-powered wireless sensor networks for monitoring modern engineered systems. Although there has been significant research effort on different energy harvester configurations, the power output of a vibration energy harvester is known to be sensitive to various sources of uncertainties such as material properties, geometric tolerances, and operating conditions. This article proposes a reliability-based design optimization method to find an optimum design of energy harvester that satisfies the target reliability on power generation. This optimum design of vibration energy harvester demonstrates reliable power generation capability in the presence of the various sources of uncertainties.

A Self-Powered, Real-Time, LoRaWAN IoT-based Soil Health Monitoring System

2021 ◽  
pp. 1-1
Author(s):  
S.R. Jino Ramson ◽  
Walter D. Leon-Salas ◽  
Zachary Brecheisen ◽  
Erika J. Foster ◽  
Cliff T. Johnston ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Health Monitoring ◽  
Soil Health ◽  
Health Monitoring System ◽  
Self Powered

Pervasive intelligent multi-node health monitoring system for monitoring basketball players health and energy using IoT and 6G technology

2021 ◽  
pp. 1-12
Author(s):  
Duqian Ding ◽  
Juan Li
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Team Sports ◽  
Personal Digital Assistant ◽  
Sensor Nodes ◽  
Ankle Sprains ◽  
Wireless Devices ◽  
Basketball Players ◽  
Health Monitoring System ◽  
Accuracy Ratio

Effective health monitoring of players in team sports like basketball allows for understanding external requirements and internal response concerning exercise and competition phases. The explosive growth of wireless devices stimulates the advancement of the internet-of-things (IoT) and 6G technologies, capable of connecting enormous and various “things” through wireless communications. Players face health issues while playing basketball are severe lower body lesions like ankle sprains, shortness of breath, teeth, head, fingers, and hand. To overcome these issues, in this paper, the Pervasive Intelligent Multi-node Health Monitoring System (PIMN-HMS) has been proposed for basketball player’s continuous health tracking based on IoT and 6G communication. With the aid of wearable monitoring sensors to gathers health information and monitor exercise records. The system consists of several sensor nodes, a network coordinator, which monitors physical movements and heart rate, and a personal server on a personal digital assistant using 6G networks. The numerical results have been performed, and the suggested PIMN-HMS model enhances the accuracy ratio of 96.7%, prediction ratio of 97.3%, low latency ratio of 11.2%, delay rate of 22.3%, and efficiency ratio of 98.7% compared to other existing models.

Development of vibration sensor for self-powered health monitoring system for bridges

2020 ◽  
Vol 2020 (0) ◽  
pp. 2A07
Author(s):  
Shinji KOGANEZAWA ◽  
Tomotake ISHII ◽  
Arisu AMIURA ◽  
Hiroshi TANI ◽  
Renguo LU ◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Vibration Sensor ◽  
Health Monitoring System ◽  
Self Powered
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