Godo, Kenji Nakazawa, Yuri
Published in
Measurement Science and Technology
A standard source for spectral radiance is necessary for instruments, such as spectral radiance meters, which measure luminance and color of displays. Nevertheless, unavailability of practical transfer standard sources for spectral radiance has long presented difficulties for manufacturers. To overcome the difficulty of spectral radiance traceabili...
Sun, Xianbin Kong, Liya Yin, Gang Zheng, Xin
Published in
Measurement Science and Technology
Rolling bearing failure is an important cause of equipment failure, and its remaining service life prediction is a key research direction to detect the health status and service life of machinery. However, the feature indicators extracted based on expert knowledge cannot better characterize the trend of bearing degradation in the early and middle t...
Feng, Xu Liu, Yongqi Li, Houjun Cai, Shuangyang Yu, Lei
Published in
Measurement Science and Technology
Pile foundations in soft soil often encounter challenges regarding abnormal bearing capacity, significantly impacting the safety of engineering projects. The bearing capacity of pile foundations is influenced by various factors, often characterized by complexity and unpredictability. Therefore, this study proposes a comprehensive model, termed GWOA...
Lin, Junting Niu, Pengyuan Li, Qian Wang, Bohan
Published in
Measurement Science and Technology
This paper proposes an anomaly detection method for the ZPW-2000 A track circuit that analyzes massive monitoring data to reflect the circuit’s operational status in real time. The study utilizes two independent parallel channels for anomaly detection: Extended Isolated Forest (EIF) and Variable Auto-Encoder (VAE), each employing a distinct detecti...
Kong, Dewen Zhan, Hongfei Yu, Junhe Wang, Rui
Published in
Measurement Science and Technology
Currently, data-driven deep learning methods have attracted much attention in the field of bearing fault diagnosis. Nonetheless, the existing rolling bearing fault methods suffer from insufficient fault feature extraction capability when dealing with variable operating conditions and strong noise environments. Therefore, this paper proposes a noise...
Yu, Zhen Wan, Junhe Hao, Zongrui Kou, Lei
Published in
Measurement Science and Technology
Industrial robots play an essential role in intelligent manufacturing. The pose repeatability accuracy of the end effector is an important indicator of the robot’s precision operations ability. So, it is essential to measure the pose repeatability accuracy of the end effector. However, most of the existing measurement methods have problems such as ...
Zhang, Qiankun Chai, Hongzhou Wang, Min Sun, Shuang Liu, Yang
Published in
Measurement Science and Technology
Due to the chip shapes of Global Navigation Satellite System (GNSS) live signals differ from ideal conditions, GNSS satellite signals are distorted, which leads to different code biases, namely signal distortion biases (SDB). Existing SDB estimation methods are based on code observation combinations with large noise and face the problem of unreason...
Zhai, Yameng Jia, Linhua Qu, Xinghua Zhang, Fumin
Published in
Measurement Science and Technology
Precise absolute distance measurements are crucial in both scientific and industrial fields. Among various techniques, dual-comb ranging stands out due to its high precision and fast acquisition rate. However, the inherent periodicity of the comb pulse train leads to the limited non-ambiguity range (NAR) and periodic measurement dead zones, thereby...
Jiang, Guoqian Yi, Zichen He, Qun
Published in
Measurement Science and Technology
Condition monitoring of wind turbines with supervisory control and data acquisition (SCADA) data has attracted increasing interest due to its great benefits in improving operation reliability and reducing unplanned downtimes of wind turbines. However, existing SCADA data-based studies focus primarily on anomaly detection, and few studies have attem...
Raffel, Markus Smith, Nathanial T Wolf, C Christian Heineck, James T Gardner, Anthony D
Published in
Measurement Science and Technology
A background-oriented schlieren technique (BOS) using projected background patterns is presented. The projected backgrounds can be scaled to the measurement requirements, providing greater flexibility than printed backgrounds. The evaluation of the BOS image pairs using cross-correlation or optical flow analysis was demonstrated to produce equivale...