In order to obtain the entire continuous circumferential film pressure distribution of a water-lubricated rubber bearing with multiaxial grooves, and further to study the bearing properties, an experimental research was conducted. The wireless measurement scheme was proposed, which can make the measurement process simple, convenient, and accurate. The unique design of the shaft and the installation methods for the pressure sensors are described. The time-domain averaging (TDA) algorithm was presented to suppress the random noises of the film pressure signal. By contrastive analysis on experimental results, some bearing properties, and working mechanism have been found and demonstrated.

To meet the measurement needs of multidimensional high-g acceleration in fields such as weapon penetration, aerospace, and explosive shock, a biaxial piezoresistive accelerometer incorporating tension–compression is meticulously designed. This study begins by thoroughly examining the tension–compression measurement mechanism and designing the sensor’s sensitive structure. A signal test circuit is developed to effectively mitigate cross-interference, taking into account the stress variation characteristics of the cantilever beam. Subsequently, the signal test circuit of anti-cross-interference is designed according to the stress variation characteristics of the cantilever beam. Next, the finite element method is applied to analyze the structure and obtain the performance indices of the range, vibration modes, and sensitivity of the sensor. Finally, the process flow and packaging scheme of the chip are analyzed. The results show that the sensor has a full range of 200,000 g, a sensitivity of 1.39 µV/g in the X direction and 1.42 µV/g in the Y direction, and natural frequencies of 509.8 kHz and 510.2 kHz in the X and Y directions, respectively.

The accurate measurement of film pressure distribution in water-lubricated bearings (WLBs) is crucial as it offers insights into bearing traits, like bearing capacity and the lubrication status. The prevailing testing method involves drilling holes into the shaft to redirect water, and incorporating pressure sensors. These sensors communicate their signals via a wireless sensor node (WSN). However, traditional power supply methods for the WSN - namely, battery power, slip ring conduction, and self-power - do not provide the continuity, safety, and stability needed under rotational conditions. To overcome this, our study proposes a contactless power supply method for the film pressure WSN that can provide stable and continuous power under rotating conditions, and avoid safety risks posed by friction and wear of the slip ring. Next, we designed and produced a magnetic coupler which underwent static and dynamic tests on an actual WLBs test bench. The test results revealed that the coupler can generate 13.429W power with a 5mm air gap following a Series-Parallel (SP) compensation, reaching an efficiency of 88.64%. This surpasses the efficiency rates reported in recent studies. Additionally, the system’s voltage fluctuation on the actual test bench is a mere 0.55% within the range of 50 to 500 rpm, which demonstrates excellent stability. While this system is primarily engineered for the film pressure WSN, it may also be applicable to other rotating equipment, thereby broadening its practical use scope.

To improve the automation level of highway maintenance operations, the lightweight YOLOv5-Lite-s neural network was deployed in embedded devices to assist an automatic traffic cone retractor in completing recognition and positioning operations. The system used the lightweight shuffle Net network as a backbone for feature extraction, replaced convolutional layers with focus modules to reduce computational complexity, and reduced the use of the C3 layer to increase network speed, thereby meeting the speed and accuracy requirements of traffic cone placement and retraction operations while maintaining acceptable model inference accuracy. The experimental results show that the network could maintain recognition accuracy and speed values of around 89% and 9 fps under different working conditions such as varying distances, lighting conditions, and occlusions, meeting the technical requirements for deploying and retrieving cones at a speed of 30 cones per minute when the operating vehicle’s speed was 20 km/h. The automatic traffic cone placement and retraction system operated accurately and stably, achieving the application of machine vision in traffic cone retraction operations.