Real-time automated street utility pole components fault detection system using GSM communication

2016 ◽  
Author(s):  
R.S.S. Singh ◽  
B.S.S. Singh ◽  
S.A. Anas ◽  
Y. Yunus
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Detection System ◽  
Utility Pole

Fault Detection System Overall Design for Artillery Control Device

2012 ◽  
Vol 580 ◽  
pp. 401-406
Author(s):  
Shi Long Zhang ◽  
Ya Li Dou ◽  
Jian Gao ◽  
Jian Zhong Wang ◽  
Hai Wei Yuan
Keyword(s):  
Fault Detection ◽  
Data Acquisition ◽  
Real Time ◽  
Detection System ◽  
Control Device ◽  
Serial Port ◽  
Overall Design ◽  
Intelligent Terminal ◽  
Signal Characteristics ◽  
Great Generality

We designed the fault detection equipment for artillery cotrol device, and the performances and faults of the three subsystems can be detected, according to their signal characteristics. In this fault detcetion system, the MCU is used as the master controller, and the A/D conversion chip MAX197 is applied to acquisit and convers data. The data will be processed by the MCU, then be transfered to LCD intelligent terminal through serial port, and finally be displayed and preserved in the terminal. This detection system can complete data acquisition and real-time fault detection, locating the faults to the specific parts. It can also provide expert maintenance proposal in the three subsystems of artillery control device. Besides, this system has great generality and practicability, and it is convenient for upgrating and reforming.

scholarly journals A real-time equipment monitoring and fault detection system

2002 ◽  
Author(s):  
R.S. Guo ◽  
A. Chen ◽  
C.L. Tseng ◽  
I.K. Fong ◽  
A. Yang ◽  
...  
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Detection System ◽  
Equipment Monitoring

Real-Time Fault Detection for Solar Hot Water Systems Using Adaptive Resonance Theory Neural Networks

2011 ◽  
Author(s):  
Hongbo He ◽  
David Menicucci ◽  
Thomas Caudell ◽  
Andrea Mammoli
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Data Acquisition ◽  
Real Time ◽  
Detection System ◽  
Adaptive Resonance Theory ◽  
Hot Water ◽  
Outlet Temperature ◽  
Resonance Theory ◽  
Adaptive Resonance

The objective of this work is to design and test a real-time solar hot water (SHW) fault detection system that can reliably detect anticipated and unforeseen faults using only those sensors that are normally required to operate a system. The fault detection system includes a data acquisition module and a hierarchical Adaptive Resonance Theory (ART)-based neural network fault detection module. The data acquisition system logs the collector fin temperature and the water tank heat exchanger outlet temperature. The detection module uses a hierarchical ART neural network that can detect faults and classify them by level of severity. The hierarchical ART neural network is trained with information collected from a verified solar hot water system TRNSYS (Transient Systems Simulation program) model. The TRNSYS model uses weather data for Albuquerque, NM, extracted from the National Solar Radiation Data Base (NSRDB), for the 5-year period 2000–2004. The neural network is trained under different weather conditions. The simulation and experimental results show that the trained fault detection system has the capability to detect expected faults including pump faults, impeller degradation, thermosyphon and potential unexpected ones. Simulated and experimental test results are presented.

scholarly journals Wind Turbine Fault Detection System in Real Time Remote Monitoring

2014 ◽  
Vol 4 (6) ◽  
Author(s):  
Saad Chakkor ◽  
Mostafa Baghouri ◽  
Abderrahmane Hajraoui
Keyword(s):  
Fault Detection ◽  
Wind Turbine ◽  
Real Time ◽  
Remote Monitoring ◽  
Detection System

scholarly journals 1D-CNN based real-time fault detection system for power asset diagnostics

2020 ◽  
Vol 14 (24) ◽  
pp. 5766-5773 ◽  
Author(s):  
Imene Mitiche ◽  
Alan Nesbitt ◽  
Stephen Conner ◽  
Philip Boreham ◽  
Gordon Morison
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Detection System

Real-Time HVAC Sensor Monitoring and Automatic Fault Detection System

2016 ◽  
pp. 39-54 ◽  
Author(s):  
Ying Guo ◽  
Josh Wall ◽  
Jiaming Li ◽  
Sam West
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Detection System ◽  
Sensor Monitoring

A Sensor of Aero-Engine Real-Time Fault Detection System Based on ARM9

2012 ◽  
Vol 591-593 ◽  
pp. 1470-1474
Author(s):  
Yi Gang Sun ◽  
Lei Wang ◽  
Wei Xing Chen
Keyword(s):  
Fault Detection ◽  
Data Processing ◽  
Real Time ◽  
Detection System ◽  
Aircraft Engine ◽  
Detection Algorithm ◽  
Signal Acquisition ◽  
Processing Unit ◽  
Processing Efficiency ◽  
Data Processing Unit

A system is designed to monitor fault of sensors for aircraft engine real-time. SCM C8051F120 is used to control sensor signal acquisition process, and after processing and storage, the data will be transferred to the data processing unit via Ethernet for analysis and detection. ARM9 embedded computer based on WinCE is used as a data processing core for the data processing unit, three layers BP neural network is used as a sensor fault detection algorithm and troubleshooting software with C++ is developed. It can handle large amounts of data and improve processing efficiency. It has a good interface as well. Compared with current systems, it has been greatly improved in real-time and accuracy. After verification, the system is accurate and strong real-time, and can monitor aircraft engine sensor faults correctly.

scholarly journals LiReD: A Light-Weight Real-Time Fault Detection System for Edge Computing Using LSTM Recurrent Neural Networks

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2110 ◽  
Author(s):  
Donghyun Park ◽  
Seulgi Kim ◽  
Yelin An ◽  
Jae-Yoon Jung
Keyword(s):  
Neural Networks ◽  
Fault Detection ◽  
Real Time ◽  
Recurrent Neural Networks ◽  
Detection System ◽  
Edge Computing ◽  
Light Weight
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