2 December 2024
New research enables battery-free machine monitoring
A new technology based on triboelectric nanogenerators (TENG) could revolutionize how we monitor the condition of machinery. Idiris Mehamud Aliyi, a doctoral student at Luleå University of Technology, has developed a groundbreaking solution that promises improved safety, cost reductions, and long-term, wireless machine monitoring.
Machine failures can be both costly and dangerous. Early detection of issues like vibrations, imbalance, or overheating is critical. Idiris Mehamud Aliyi’s research focuses on solving these challenges using triboelectric nanogenerators (TENG). TENG technology converts mechanical energy into electricity and has the potential to replace traditional sensors that rely on external power sources.
"The greatest advantage of TENG is its simplicity, low cost, and high efficiency. Moreover, it can function both as a vibration sensor and an energy harvester," says Aliyi.
A breakthrough
A key aspect of the thesis is the development of vibration sensors capable of measuring a wider frequency range – up to 1800 Hz – close to the range where machines typically fail. This is a significant improvement compared to earlier TENG-based sensors, which could only measure below 200 Hz. The research also demonstrates that TENG can be used to create a self-sustaining monitoring system. By harvesting vibration and rotational energy from machinery, the system powers wireless sensors that send data to smartphones and computers. After just ten minutes of energy collection, the sensor can operate for nine seconds, long enough to send vibration data wirelessly via Bluetooth.
Idiris Mehamud Aliyi, doctoral student in Machine Elements at Luleå University of Technology.
"This is a breakthrough. We’ve created a low-cost, compact system that can monitor machinery in real time without the need for battery replacements," explains Aliyi.
One of the most promising results is the long-term durability. A newly developed centrifugal system proved capable of generating stable energy during 20 days of continuous operation. Although testing was halted due to time constraints, the design delivered 25 mW of power, enough to run various industrial sensors.
"This technology enables the creation of stable and sustainable systems for continuous machine condition monitoring in industrial settings," says Aliyi.
Idiris Mehamud Aliyi’s research paves the way for a future where machinery can be monitored wirelessly and self-sufficiently, a development that not only saves costs but also enhances safety and operational reliability in industries worldwide.
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