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Article | 01-June-2016

DATASOCKET TECHNOLOGY AND ITS APPLICATION IN EQUIPMENT REMOTE CONDITION MONITORING AND FAULT DIAGNOSIS

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

Condition Monitoring and Diagnosis of Steam Traps with Wireless Smart Sensors

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

A WSN-BASED ON-LINE WORKING CONDITION MONITORING SYSTEM FOR LARGE ELECTRICAL EQUIPMENT

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

AN APPROPRIATE PROCEDURE FOR DETECTION OF JOURNAL-BEARING FAULT USING POWER SPECTRAL DENSITY, K-NEAREST NEIGHBOR AND SUPPORT VECTOR MACHINE

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

STUDY ON FEATURE SELECTION AND IDENTIFICATION METHOD OF TOOL WEAR STATES BASED ON SVM

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

3D LASER SCANNING TECHNIQUE FOR THE INSPECTION AND MONITORING OF RAILWAY TUNNELS

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

A New Method for Interference Reduction in the Smoothed Pseudo Wigner-Ville Distribution

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

Quantitative Evaluation of an FPGA based Wireless Vibration Monitoring System in relation to Different Sampling Rates

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

FILM THICKNESS MEASUREMENT OF MECHANICAL SEAL BASED ON CASCADED ARTIFICIAL NEURAL NETWORK RECOGNITION MODEL

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

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