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With the rapid development of the Internet of things (IOT) and microelectronic technology, wireless sensor network (WSN) has been widely applied to the industrial fields, such as environmental monitoring, data transmission, etc. [1]. In general, the wireless sensors in the WSN use conventional batteries as the energy supply. However, the life of any conventional battery is limited. In the WSN with...
Wireless Sensors Networks (WSNs) is the critical part of the Internet of Things (IOTs). However, most of the wireless sensors in WSNs also use batteries as their power supply. The finite battery life has limited the development and application of WSNs. The self-powering device could be a good solution, which performs both an energy harvester and wireless sense function. Vibrations with frequencies...
There is growing interest in energy scavenging from natural vibration sources to power autonomous wireless telemetry devices. Vibration energy is typically converted into electrical energy using piezoelectric, electromagnetic, or electrostatic transduction mechanisms [1]. Despite the transduction mechanisms and novel structures, there is still an obstacle facing realistic implementation in most of...
Wireless Sensor Networks (WSNs) have undergone rapid advancement over the past few decades. Typically, batteries power these wireless sensors. However, in many cases, battery life is preventing the WSNs from being widely applied. The power supply bottlenecks of WSNs would be solved by the self-powering sensors completely. As vibration energy is ubiquitous, energy harvesting from environment vibration...
Feature extraction and selection were important issues in soft sensing. Using the spectrum of vibration or acoustical signal may simplify the modeling process. In this study, shell vibration signals of ball mill were first transformed into vibration spectrum by fast Fourier transform (FFT). Then, the candidate features set were extracted from the spectrum, which included three types of features: characteristic...
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