Application in Avionics Anomaly Detection Using Multi-Variant Hotelling T2 Statistics

2012 ◽  
Vol 472-475 ◽  
pp. 473-476 ◽  
Author(s):  
Yi Wang ◽  
Ming Qing Xiao ◽  
Sheng Sheng ◽  
Liang Liang Zhao
Keyword(s):  
Anomaly Detection ◽  
Health Management ◽  
Fault Injection ◽  
Test System ◽  
In Situ Monitoring ◽  
Management Problem ◽  
On Line ◽  
Line Test ◽  
System Prototype

This article proposes a framework of in-situ monitoring for anomaly detection of avionics, Uses the multi-variant Hotelling T2 statistics to form a quickly reference to the anomaly behavior. The proposed method can be used to solve the data driven Prognostics and Health Management problem to detect the anomaly behavior of equipment as well as the potential isolation and diagnosis of the symptoms of incoming faults. The article also gives a structure of an on-line test and monitoring system prototype, based on the legacy on-line test system, as well as developed a basic information gathering route and a multi-variant test based anomaly detection method. A fault injection based simulation experiment was formed to validate the performance of the system and method under consideration. The results shows that the proposed method has a solid mathematics fundamental and the advantages as well as good performance, worth to be spread.

On-line in situ monitoring of the soybean oil and ethanol transesterification reaction by fluorescence spectroscopy

Fuel ◽  
2015 ◽  
Vol 145 ◽  
pp. 109-115 ◽  
Author(s):  
T. Izida ◽  
L. Bussler ◽  
J.R. Silva ◽  
L.H.C. Andrade ◽  
E. Simionatto ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Soybean Oil ◽  
Transesterification Reaction ◽  
In Situ Monitoring ◽  
On Line

Development of a measuring system for on-line in situ monitoring of composite materials manufacturing

2016 ◽  
Vol 90 ◽  
pp. 760-770 ◽  
Author(s):  
R. Polanský ◽  
J. Pihera ◽  
J. Komárek ◽  
R. Pavlica ◽  
P. Prosr ◽  
...  
Keyword(s):  
Composite Materials ◽  
In Situ Monitoring ◽  
Measuring System ◽  
On Line

A Digital On-Line Monitor for Detecting Intermittent Resistance Faults at Board Level

2019 ◽  
Vol 28 (supp01) ◽  
pp. 1940003
Author(s):  
Hassan Ebrahimi ◽  
Hans G. Kerkhoff
Keyword(s):  
Fault Injection ◽  
Occurrence Rate ◽  
Time Duration ◽  
Management Framework ◽  
Level Data ◽  
Random Behavior ◽  
On Line ◽  
Serial Peripheral Interface ◽  
Board Level

The reliability of board-level data communications intensively depends on the reliability of interconnections on a board. One of the most challenging interconnections reliability threats is intermittent resistive faults (IRFs). Detecting such faults is a major challenge. The main reason is the random behavior of these faults. They may occur randomly in time, duration and amplitude. The occurrence rate can vary from a few nanoseconds to months. This paper investigates IRF detection at the board level by introducing a new digital in situ IRF monitor. Hardware-based fault injection has been used to validate the proposed IRF monitor. As case studies, two widely used on-board transmission protocols namely the Universal Asynchronous Receiver Transmitter (UART) and the Serial Peripheral Interface bus (SPI), have been used. In addition, one fault management framework, based on the IJTAG standard, has been implemented to collect and characterize information from the monitors. The experimental results show that the proposed monitor is effective in detecting IRFs at the board level.

Disquisition of Testing System for BMBS Vacuum Booster

2012 ◽  
Vol 190-191 ◽  
pp. 1351-1354
Author(s):  
Yan Shi ◽  
Yi Lu ◽  
Xue Ying Wang
Keyword(s):  
High Speed ◽  
Computer Control ◽  
Performance Testing ◽  
Test System ◽  
Testing System ◽  
Test Items ◽  
Sealing Performance ◽  
On Line ◽  
High Speed Data ◽  
Line Test

To solve the problem of testing BMBS (BLOW-OUT MONITORING AND BRAKE SYSTEM) vacuum booster performance, a double-station and on-line test system for BMBS vacuum booster was designed. It adopts high-speed data collection method and computer control technology. This system can test the performance in non-BMBS condition and BMBS condition. The test items mainly include dynamic characteristic and sealing performance under each condition. The double stations are independent and have no interference with each other. The system fills up the blank of performance testing about BMBS vacuum booster. To verify this system, experiments were conducted with the vacuum booster which installed the BMBS technology. The experiment results show that the system can do well in testing the performance of BMBS vacuum booster in high precision. The sealing performance resolution is 0.01kPa and the pressure resolution is 1N.

On-line and in situ monitoring of biomass in submerged cultivations

1997 ◽  
Vol 15 (12) ◽  
pp. 517-522 ◽  
Author(s):  
Lisbeth Olsson ◽  
Jens Nielsen
Keyword(s):  
In Situ Monitoring ◽  
On Line

scholarly journals A multi-parameter miniature photometric analyser for fully automated environmental water monitoring

2019 ◽  
Vol 6 (1) ◽  
pp. 34-39
Author(s):  
Daniele Paesani
Keyword(s):  
Sea Water ◽  
Process Analysis ◽  
Wide Spectrum ◽  
Industrial Process ◽  
Environmental Water ◽  
In Situ Monitoring ◽  
On Line ◽  
Analyte Detection ◽  
Increasing Demand

Nowadays, the increasing demand for constant in-situ monitoring of clean water, wastewater and sea water requires the deployment of automated platforms capable of on-line autonomous sampling, extended unattended operation and of multi-analyte detection. The Micro Loop Injection Analyser (μLIA) system hereby presented relies on integrated additively manufactured opto-fluidic components which allow for increased performance solutions to be implemented cost-effectively and in miniaturised footprints, targeting a wide spectrum of applications which ranges from in-situ environmental monitoring and field water testing to industrial process analysis. Preliminary tests of the μLIA unit have shown good reproducibility and stability of the system and a good performance of its self-calibration routines.

A Review on Gas Turbine Anomaly Detection for Implementing Health Management

2016 ◽  
Author(s):  
Ningbo Zhao ◽  
Xueyou Wen ◽  
Shuying Li
Keyword(s):  
Anomaly Detection ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Health Management ◽  
Vibration Signal ◽  
Source Information ◽  
Rapid Improvement ◽  
Recent Developments ◽  
Data Driven Approach ◽  
On Line

With the rapid improvement of equipment manufacturing technology and the ever increasing cost of fuel, engine health management has become one of the most important parts of aeroengine, industrial and marine gas turbine. As an effective technology for improving the engine availability and reducing the maintenance costs, anomaly detection has attracted great attention. In the past decades, different methods including gas path analysis, on-line monitoring or off-line analysis of vibration signal, oil and electrostatic monitoring have been developed. However, considering the complexity of structure and the variability of working environments for engine, many important problems such as the accurate modeling of gas turbine with different environment, the selection of sensors, the optimization of various data-driven approach and the fusion strategy of multi-source information still need to be solved urgently. Besides, although a large number of investigations in this area are reported every year in various journals and conference proceedings, most of them are about aeroengine or industrial gas turbine and limited literature is published about marine gas turbine. Based on this background, this paper attempts to summarize the recent developments in health management of gas turbines. For the increasing requirement of predict-and-prevent maintenance, the typical anomaly detection technologies are analyzed in detail. In addition, according to the application characteristics of marine gas turbine, this paper introduces a brief prospect on the possible challenges of anomaly detection, which may provide beneficial references for the implementing and development of marine gas turbine health management.

The effects of listening agent in speech-based on-line test system

2015 ◽  
Author(s):  
Hidemasa Kimura ◽  
Jumpei Hayashi ◽  
Yuichi Demise ◽  
Dai Hasegawa ◽  
Hiroshi Sakuta
Keyword(s):  
Test System ◽  
On Line ◽  
Line Test
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