|
|
|
|
|
Chenyong Wang, Hongpeng Zhang, Chenzhao Bai, Wei Li, Shengzhao Wang and Shuyao Zhang
In order to realize the lubricant fluid condition monitoring of ships and offshore engineering equipment, a multi-channel, dual-mode oil multi-pollution detection sensor is proposed and fabricated. The sensor has three detection channels connected via te...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md Rashedul Islam, Young-Hun Kim, Jae-Young Kim and Jong-Myon Kim
The proposed model of this paper is for the bearing fault diagnosis of industrial rotating machinery. Specifically, the general fault diagnosis model only can predict the bearing fault based on the predefined number of stored fault information. The propo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hua Zhang, Lei Pei, Jinlei Sun, Kai Song, Rengui Lu, Yongping Zhao, Chunbo Zhu and Tiansi Wang
In a parallel-connected battery group (PCBG), capacity degradation is usually caused by the inconsistency between a faulty cell and other normal cells, and the inconsistency occurs due to two potential causes: an aging inconsistency fault or a loose cont...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lu Wan, Simone Negri, Giordano Spadacini, Flavia Grassi and Sergio Amedeo Pignari
The proposed enhanced single-probe method can be used to measure the impedance of energized devices or systems, which is usually not possible with traditional direct measurement methods. The online impedance measure is helpful in filter design/selection,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cheng-Jian Lin, Chun-Hui Lin and Frank Lin
The spindle of a machine tool plays a key role in machining because the wear of a spindle might result in inaccurate production and decreased productivity. To understand the condition of a machine tool, a vector-based convolutional fuzzy neural network (...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guangya Zhu, Chongyu Wang, Wei Zhao, Yonghui Xie, Ding Guo and Di Zhang
The diagnosis of blade crack faults is critical to ensuring the safety of turbomachinery. Blade tip timing (BTT) is a non-contact vibration displacement measurement technique, which has been extensively studied for blade vibration condition monitoring re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peihao Huang, Tao Wang, Lin Ding, Huhuang Yu, Yong Tang and Dianle Zhou
The real-time fault detection and diagnosis algorithm of a liquid rocket engine is the basis of online reconfiguration of guidance and the control system of a launch vehicle, which is directly related to the success or failure of space mission. Based on ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongqiang Duan, Chengdong Wang, Yong Chen and Peisen Liu
The fault frequencies are as they are and cannot be improved. One can only improve its estimation quality. This paper proposes a fault diagnosis method by combining local mean decomposition (LMD) and the ratio correction method to process the short-time ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rafik Kheddam,Oum-El-Kheir Aktouf,Ioannis Parissis
Pág. 57 - 73
In recent years, due to the proliferation of radio fre-quency identification (RFID) technology in everyday life, espe-cially in critical domains such as health care and transportation systems, significant efforts have been made to enhance the de-pendabil...
ver más
|
|
|
|
|
|
|
|
|
|
|
Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Catherine Dezan, Sara Zermani and Chabha Hireche
Bayesian Networks (BN) are probabilistic models that are commonly used for the diagnosis in numerous domains (medicine, finance, transport, robotics, ?). In the case of autonomous vehicles, they can contribute to elaborate intelligent monitors that can t...
ver más
|
|
|
|
|
|