Article | 01-June-2016
Instrument technology based on DataSocket and its application in equipment remote condition monitoring and fault diagnosis. DataSocket’s properties, structure and working principle were analyzed at the same time. By developing a set of equipment remote status monitoring and fault diagnosis system, the paper has tried to verify that the use of this technology can monitor real-time data and fault diagnosis.
Wu Tao,
Liu Zhihua,
Liang Miaoyuan
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 491–508
Research Article | 15-February-2020
An autonomous, wireless and self-powered smart sensor is described, addressing the condition monitoring and diagnosis of steam traps, whose performance degradation impairs energy efficiency in most of the process industries. The diagnostic criteria in the two possible failure modes of steam traps are presented, as well as the structure and technologies of the embedded devices for sensing, communication, and power supply, special attention being paid to the capability to run the system on the
Joana R. C. Faria,
Sónia M. V. Semedo,
Francisco J. A. Cardoso,
José Oliveira
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6
Research Article | 20-February-2013
To solve the problems of traditional wired on-line monitoring system which has lines too much, cost too high, fault diagnosing and maintaining difficulties and so on, an on-line working condition monitoring system for large electrical equipment based on wireless sensor network (WSN) is proposed, designed and implemented. CC2431 chips were used for hardware design of wireless sensor network node and base station, and the TinyOS transplanted into the sensor nodes and base stations are discussed
Xuejun Chen,
Yongming Yang
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 297–316
Article | 01-September-2012
Journal-bearings play a significant role in industrial applications and the necessity of condition monitoring with nondestructive tests is increasing. This paper deals a proper fault detection technique based on power spectral density (PSD) of vibration signals in combination with K-Nearest Neighbor and Support Vector Machine (SVM). The frequency domain vibration signals of an internal combustion engine with three journal-bearing conditions were gained, corresponding to, (i) normal, (ii
A. Moosavian,
H. Ahmadi,
A. Tabatabaeefar,
B. Sakhaei
International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 3, 685–700
Research paper | 10-April-2013
This paper presents an on-line tool wear condition monitoring system for milling. The proposed system was developed taking the cost and performance in practice into account, in addition to a high success rate. The cutting vibration signal is obtained during the cutting process, and then extracting features using time-domain statistical and wavelet packet decomposition algorithms. It would result in two major disadvantages if creating a tool wear states identification model based on all
Weilin Li,
Pan Fu,
Weiqing Cao
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 2, 448–465
Research Article | 21-April-2017
laboratory models were built, and experiments conducted, to establish the quality and precision of laser scanning imaging, for condition monitoring of tunnels. The experimental results indicate that the laser scanning technique used in this research has high potential for detecting the tunnel condition, monitoring the depth of weathered mortar, spalling bricks etc. with high accuracy in static scanning mode.
Han-Mei CHEN,
Cristian ULIANOV,
Ramy SHALTOUT
Transport Problems, Volume 10 , ISSUE SE, 73–84
Research Article | 15-February-2020
This article presents a new method facilitating interference reduction in the Wigner-Ville distribution, which is used for nonstationary signal analysis, for example in machine condition monitoring. The algorithm is based on multiple Smoothed Pseudo Wigner-Ville distributions: differently smoothed time-frequency planes are compared and, for every point, a cross-term free value is calculated on the basis of optimal smooth estimation. The proposed approach is compared with the Gabor-Wigner
Stanislav Pikula,
Petr Beneš
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
Research Article | 15-February-2020
intensive application is realized on an FPGA based architecture so as to determine the sampling rates for which it achieves the highest performance and consumes the least amount of energy as compared to that of a micro-controller based architecture. Based on the measured performance and energy consumption for a computationally intensive application, tri-axes/threechannel vibration based condition monitoring, the results suggest that the FPGA based architecture is the most appropriate solution for
Khurram Shahzad,
Bengt Oelmann
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–7
Article | 01-December-2014
Mechanical seal end faces are separated by a thin fluid film. The thickness of this film must be optimized so as to preventing the serious friction of two end faces and minimizing the fluid leakage. The micro scope condition monitoring of end face is of importance to ensure mechanical seals run normally. A method for measuring the film thickness of end faces and detecting the friction of end faces of mechanical seal has been presented in this paper. Eddy current sensors embedded in the
Erqing Zhang,
Pan Fu,
Kesi LI,
Xiaohui Li,
Zhongrong Zhou
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1870–1889