Fault Diagnostic Equipment of Electrical System Based on Embedded System

2013 ◽  
Vol 333-335 ◽  
pp. 1552-1557
Author(s):  
Xin Yun Zhu ◽  
Xiao Qiang Yang

The development of an intelligent fault testing equipment for electrical system of a mechanized bridge is accomplished based on embedded system. This equipment consists of USB communication interface, data acquisition unit, intelligent fault diagnosis as well as maintenance and management function together with embedded microprocessor MSP 430. It can carry out data acquisition and condition monitoring with multiple operating parameters, such as voltage, current, resistor, frequency as well as other operating state values. The fault testing and diagnosis are automatically performed by the application of measured data, user input observation results that are represented by logical value, and the detection results of other testing equipment. In addition, The graphical user interface facilitates users measurement and observation till to the location of the fault parts, and subsequently help users make maintenance solution and scheme. So far, the detecting precision meets the requirements of fault testing of electrical system. The equipment has also benefits of handy structure, lightweight, low consumption, large storage capacity, excellent expandability and intelligent inference capability. It provides engineering vehicles, for instance mechanized bridge, with proper and dedicated intelligent monitoring, diagnosis and testing equipment. Meanwhile the work presents an important technical method for the technical support of the various engineering equipment in time of war.

2011 ◽  
Vol 340 ◽  
pp. 451-455
Author(s):  
Fang Yang ◽  
He Ping Hang ◽  
Jin Hui Shen ◽  
Ming Gang Shao

In order to meet data acquisition mobility and convenient requirements of the portable ECG monitor, the data acquisition system of ECG with dual CPU is designed in this paper. The system, in which C8051F005 is master CPU, meanwhile ATmega168 is slave CPU, consists of analogical circuit for detecting of ECG, amplifier-filter circuit, A/D converter and SD memory card communication interface mainly. Experimental data shows that the system has such advantages such as good repeatability, high accuracy, quick response and excellent anti-interference. It can effectively detect and obtain electrical activity of the heart and cope with continuous large memory with SD memory card in embedded system. Strong background noises are eliminated effectively by multi-level amplifier and filter; Un-anamorphic ECG can be acquired and recorded synchronously in memory cards. Moreover, this paper also proposes a preprocessing algorithm for noise reduction so that it can reject the interference by respiration and surface EMG signal.


1980 ◽  
Author(s):  
John E. Ohlson ◽  
Marvin J. Langston

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4422
Author(s):  
Paul D. Rosero-Montalvo ◽  
Edison A. Fuentes-Hernández ◽  
Manuel E. Morocho-Cayamcela ◽  
Luz M. Sierra-Martínez ◽  
Diego H. Peluffo-Ordóñez

The analysis of plantar pressure through podometry has allowed analyzing and detecting different types of disorders and treatments in child patients. Early detection of an inadequate distribution of the patient’s weight can prevent serious injuries to the knees and lower spine. In this paper, an embedded system capable of detecting the presence of normal, flat, or arched footprints using resistive pressure sensors was proposed. For this purpose, both hardware- and software-related criteria were studied for an improved data acquisition through signal coupling and filtering processes. Subsequently, learning algorithms allowed us to estimate the type of footprint biomechanics in preschool and school children volunteers. As a result, the proposed algorithm achieved an overall classification accuracy of 97.2%. A flat feet share of 60% was encountered in a sample of 1000 preschool children. Similarly, flat feet were observed in 52% of a sample of 600 school children.


2000 ◽  
Vol 24 (3) ◽  
pp. 129-134 ◽  
Author(s):  
F. Thomas ◽  
M.M. Nayak ◽  
S. Udupa ◽  
J.K. Kishore ◽  
V.K. Agrawal

2013 ◽  
Vol 22 (08) ◽  
pp. 1350070 ◽  
Author(s):  
RAFAL CUPEK ◽  
ADAM ZIEBINSKI ◽  
MACIEJ FRANEK

Contemporary computer systems used in the industry are characterized by both an increase in the scale of supported industrial processes measured by the number of control devices and the increasing demand for information describing the underlying processes measured by the number of tags used in Supervisory Control and Data Acquisition (SCADA) systems and Manufacturing Execution Systems (MES). Classical industrial data servers based on the PC architecture are unreliable, expensive to operate and difficult to manage. The alternative is a new standard OPC UA communication interface that simplifies the communication protocol and increases the flexibility of the process data description which allow for the direct implementation of OPC UA servers in embedded devices. This paper presents an innovative approaches in the field of industrial data servers which are used for communication between control systems and SCADA or MES systems. The prototype industrial data server architecture has been implemented, run and tested on the platform of embedded system based on FPGA matrix with built-in FPGA Microblaze processor. The presented experimental results allow to evaluate the applicability of the proposed solution, the limits of the presented architecture and may be used for the improvement of the embedded industrial data servers' structure in subsequent implementations.


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