Self-Powered Wireless Condition Monitoring for Rotating Machinery

无线传感器网络 无线 电气工程 功率(物理) 转子(电动) 计算机科学 睡眠模式 状态监测 能量收集 定子 汽车工程 工程类 电信 功率消耗 计算机网络 物理 量子力学
作者
Ying Zhang,Xin Wu,Yaguo Lei,Junyi Cao,Wei‐Hsin Liao
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:11 (2): 3095-3107 被引量:9
标识
DOI:10.1109/jiot.2023.3296739
摘要

Condition monitoring has played a significant role in reducing downtime and maintenance costs for key rotating machinery. However, traditional methods to power wireless sensor nodes depend highly on capacity-limited batteries or wiring from external source. Although the rotational energy harvesting technologies have been widely considered as a promising self-powered method, the output power under low-frequency occasions fails to supply the usable energy to wireless sensor nodes for condition monitoring. Therefore, a self-powered wireless condition monitoring system for rotating machinery in low-frequency occasions is presented in this article. A variable reluctance energy harvester is designed to convert rotational motion into electrical power. The ring-shaped stator contains magnets and tile silicon steel, while the rotor is composed of teethed silicon steel and coils. Besides, a ring-shaped circuit for low-speed occasions is designed to achieve power management and storage, signal detection and wireless transmission. In addition, an experimental test is carried out to verify the performance of the proposed self-powered wireless condition monitoring system. The results show that the output power of the proposed harvester reaches 336.7–851.8 mW at 200–328 rpm, while the average power after rectification and filtering is 203.3–602.5 mW. Moreover, the power test results show that the broadcasting, connecting, collecting and transmitting, and sleep modes of WiFi consume around 450, 206, 313, and 46 mW, respectively. By properly prolonging sleep mode, the average power consumption of wireless sensor networks can be significantly reduced. Furthermore, the condition monitoring performance of the proposed self-powered system is verified by acceleration detection.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
梁昕应助耿昭采纳,获得10
刚刚
鲤鱼完成签到 ,获得积分10
刚刚
刚刚
能南烟发布了新的文献求助10
刚刚
bingbingsha发布了新的文献求助10
1秒前
123发布了新的文献求助10
2秒前
huan发布了新的文献求助10
3秒前
3秒前
3秒前
天天快乐应助Charlie采纳,获得10
3秒前
阳光下的微风应助OsHTAS采纳,获得10
3秒前
4秒前
ZY发布了新的文献求助10
4秒前
Jgogo发布了新的文献求助10
8秒前
9秒前
9秒前
zqy1111完成签到,获得积分10
10秒前
10秒前
123456789完成签到,获得积分10
11秒前
11秒前
hins应助科研小白采纳,获得20
11秒前
结实的念柏完成签到,获得积分10
12秒前
Eraser发布了新的文献求助200
12秒前
科研通AI2S应助活泼的石头采纳,获得10
13秒前
airsh完成签到,获得积分10
14秒前
Alan完成签到 ,获得积分10
15秒前
猪猪hero发布了新的文献求助10
15秒前
15秒前
神奇宝贝完成签到,获得积分10
16秒前
16秒前
linlin发布了新的文献求助10
16秒前
18秒前
和谐的不二完成签到,获得积分10
19秒前
20秒前
21秒前
acutelily发布了新的文献求助10
21秒前
linlin完成签到,获得积分10
23秒前
璐璐发布了新的文献求助10
23秒前
香蕉觅云应助云_123采纳,获得10
24秒前
善学以致用应助伯赏汝燕采纳,获得10
24秒前
高分求助中
Востребованный временем 2500
The Three Stars Each: The Astrolabes and Related Texts 1500
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
Les Mantodea de Guyane 800
Mantids of the euro-mediterranean area 700
The Oxford Handbook of Educational Psychology 600
有EBL数据库的大佬进 Matrix Mathematics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 纳米技术 物理 计算机科学 化学工程 基因 复合材料 遗传学 物理化学 免疫学 细胞生物学 催化作用 病理
热门帖子
关注 科研通微信公众号,转发送积分 3416011
求助须知:如何正确求助?哪些是违规求助? 3017735
关于积分的说明 8882350
捐赠科研通 2705345
什么是DOI,文献DOI怎么找? 1483501
科研通“疑难数据库(出版商)”最低求助积分说明 685735
邀请新用户注册赠送积分活动 680742