scholarly journals Performance Evaluation of Solar-Blind Gas-Filled Sensors to Detect Electrical Discharges for Low-Pressure Aircraft Applications

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 492
Author(s):  
Jordi-Roger Riba ◽  
Manuel Moreno-Eguilaz ◽  
Maxence Boizieau ◽  
Tamerlan Ibrayemov
Keyword(s):  
Electrical Discharges ◽  
Safety Hazards ◽  
Non Invasive ◽  
Incipient Stage ◽  
Initial Stage ◽  
Solar Blind ◽  
Visible Spectra ◽  
On Line ◽  
Imaging Sensor ◽  
Types Of Faults

Unpressurized aircraft circuits facilitate the initiation of electrical discharges in wiring systems, with consequent damage to related insulation materials and safety hazards, that can and have already caused severe incidents and accidents. Specific sensors and solutions must be developed to detect these types of faults at a very incipient stage, before further damage occurs. Electrical discharges in air generate the corona effect, which is characterized by emissions of bluish light, which are found in the ultraviolet (UV) and visible spectra. However, due to sunlight interference, the corona effect is very difficult to detect at the very initial stage, so the use of solar-blind sensors can be a possible solution. This work analyzes the feasibility of using inexpensive non-invasive solar-blind sensors in a range of pressures compatible with aircraft environments to detect the electrical discharges at a very incipient stage. Their behavior and sensitivity compared with other alternatives, i.e., an antenna sensor and a CMOS imaging sensor, is also assessed. Experimental results presented in this paper show that the analyzed solar-blind sensors can be applied for the on-line detection of electrical discharges in unpressurized aircraft environments at the very initial stage, thus facilitating and enabling the application of predictive maintenance strategies. They also offer the possibility to be combined with existing electrical protections to expand their capabilities and improve their sensitivity to detect very early discharges, thus allowing the timely identification of their occurrence.

Generic monitoring tools for water characteristics assessment

2003 ◽  
Vol 3 (1-2) ◽  
pp. 351-357
Author(s):  
S. Le Bonté ◽  
M.-N. Pons ◽  
O. Potier ◽  
S. Chanel ◽  
M. Baklouti
Keyword(s):  
Municipal Wastewater ◽  
Principal Component ◽  
Toxic Substances ◽  
Capacity Curves ◽  
Water Characteristics ◽  
Monitoring Tools ◽  
Visible Spectra ◽  
On Line ◽  
Mining Procedure

An adaptive principal component analysis applied to sets of data provided by global analytical methods (UV-visible spectra, buffer capacity curves, respirometric tests) is proposed as a generic procedure for on-line and fast characterization of wastewater. The data-mining procedure is able to deal with a large amount of information, takes into account the normal variations of wastewater composition related to human activity, and enables a rapid detection of abnormal situations such as the presence of toxic substances by comparison of the actual wastewater state with a continuously updated reference. The procedure has been validated on municipal wastewater.

scholarly journals EEG Waveform Analysis of P300 ERP with Applications to Brain Computer Interfaces

2018 ◽  
Vol 8 (11) ◽  
pp. 199 ◽  
Author(s):  
Rodrigo Ramele ◽  
Ana Villar ◽  
Juan Santos
Keyword(s):  
Brain Computer Interface ◽  
Waveform Analysis ◽  
Computer Interface ◽  
Clinical Tool ◽  
Non Invasive ◽  
Computer Interfaces ◽  
Brain Signals ◽  
Public Dataset ◽  
Imaging Sensor ◽  
Clinical Eeg

The Electroencephalography (EEG) is not just a mere clinical tool anymore. It has become the de-facto mobile, portable, non-invasive brain imaging sensor to harness brain information in real time. It is now being used to translate or decode brain signals, to diagnose diseases or to implement Brain Computer Interface (BCI) devices. The automatic decoding is mainly implemented by using quantitative algorithms to detect the cloaked information buried in the signal. However, clinical EEG is based intensively on waveforms and the structure of signal plots. Hence, the purpose of this work is to establish a bridge to fill this gap by reviewing and describing the procedures that have been used to detect patterns in the electroencephalographic waveforms, benchmarking them on a controlled pseudo-real dataset of a P300-Based BCI Speller and verifying their performance on a public dataset of a BCI Competition.

On-line prediction of sodium content in vacuum packed dry-cured ham slices by non-invasive near infrared spectroscopy

Meat Science ◽  
2017 ◽  
Vol 126 ◽  
pp. 29-35 ◽  
Author(s):  
M. Isabel Campos ◽  
M. Luisa Mussons ◽  
Gregorio Antolin ◽  
Luis Debán ◽  
Rafael Pardo
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Sodium Content ◽  
Non Invasive ◽  
Dry Cured Ham ◽  
On Line

Non-Invasive Monitoring of Hemodynamic Parameters during Hemodialysis

1995 ◽  
Vol 18 (9) ◽  
pp. 499-503 ◽  
Author(s):  
F. Pizzarelli ◽  
P. Dattolo ◽  
M. Piacenti ◽  
M.A. Morales ◽  
T. Cerrai ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cardiac Output ◽  
Blood Volume ◽  
Impedance Cardiography ◽  
Hemodynamic Parameters ◽  
Non Invasive ◽  
Transthoracic Impedance ◽  
Cardiac Output Index ◽  
On Line ◽  
Two Parameters

We studied in 13 hemodialysis patients intradialytic variations of blood volume (BV) and cardiac output, by means of non-invasive methods. We found a weak correlation, r 0.2 or less, between BV variations and intradialysis blood pressure variations. The sensitivity of the former in describing the variations of the latter was only 32%. During the 30 min preceeding the hypotensive crisis the percent BV variations did not show any predictive trend. On the contrary, refilling increased as blood pressure dropped and a weak inverse relation (r -0.35) was found between these two parameters. Unstable patients had predialytic blood volume values significantly lower than stable ones and comparable to healthy subjects. On the contrary, the correlation between percent variations of cardiac output index and MAP was 0.68 with a sensitivity and specificity of 90% and 59%, respectively. Unfortunately these promising results were obtained only with an estimate of cardiac output obtained by echocardiography and not by transthoracic impedance cardiography, which is much more feasible than the former as on-line monitoring of cardiac output. On-line monitoring of hemodynamic parameters is an appealing but still unsolved task.

A Model for Non-Invasive Estimation of in Vivo Dialyzer Performances and Patient's Conductivity during Hemodialysis

1993 ◽  
Vol 16 (8) ◽  
pp. 585-591 ◽  
Author(s):  
T. Petitclerc ◽  
N. Goux ◽  
A.L. Reynier ◽  
B. Béné
Keyword(s):  
Strong Correlation ◽  
New Method ◽  
Conductivity Measurements ◽  
Urea Clearance ◽  
Non Invasive ◽  
Model Based ◽  
On Line ◽  
Conventional Methods

On-line monitoring of hemodialysis sessions requires a non-invasive estimation of the parameters concerning the patient's status and the dialyzer performances. We describe here a model based on a new method for non-invasive dialysance and patient conductivity measurements. In this technique the same probe measures alternately the conductivity at the dialysate inlet and outlet for two different dialysate conductivity values. From these data, an appropriate model allows to determine the patient's conductivity as well as the effective dialysance of ionised solutes, that is to say the dialysance corrected for recirculation. A strong correlation is evidenced between the effective dialysance measured by this method and the urea clearance measured by conventional methods (r=0.98 for in vitro solutions; r=0.82 in in vivo situations).

scholarly journals Laser-Induced Breakdown Spectroscopy of AL-Samples: Application to Chemical Analysis of Metallic Elementsf

1995 ◽  
Vol 16 (2) ◽  
pp. 75-82 ◽  
Author(s):  
B. Bescós ◽  
J. Castaño ◽  
A. González Ureña
Keyword(s):  
Chemical Analysis ◽  
Simultaneous Detection ◽  
Laser Induced Breakdown Spectroscopy ◽  
Minor Components ◽  
Experimental Conditions ◽  
Breakdown Spectroscopy ◽  
Non Invasive ◽  
Multichannel Analysis ◽  
Laser Induced Breakdown ◽  
On Line

This paper reports on the simultaneous detection of Mg, Mn, Fe and Pb in Al samples using laser-induced breakdown spectroscopy and optical multichannel analysis of the photoablated microplasma. Using calibrated samples, well characterized linear working curves were determined for these minor components over the 0.01–1% concentration range. In addition optimum experimental conditions were found that allow the analysis to be carded out in a fast and non-invasive manner. The potential application of the method to on-line industrial analysis is also suggested.

Evidence of Perspective-Taking Constraints in Children's On-Line Reference Resolution

2002 ◽  
Vol 13 (4) ◽  
pp. 329-336 ◽  
Author(s):  
Aparna S. Nadig ◽  
Julie C. Sedivy
Keyword(s):  
Experimental Data ◽  
Language Processing ◽  
Perspective Taking ◽  
Common Ground ◽  
Production Task ◽  
Reference Resolution ◽  
Mutual Knowledge ◽  
Initial Stage ◽  
On Line ◽  
Early Effects

Young children's communication has often been characterized as egocentric. Some researchers claim that the processing of language involves an initial stage that relies on egocentric heuristics, even in adults. Such an account, combined with general developmental difficulties with late-stage processes, could provide an explanation for much of children's egocentric communication. However, the experimental data reported in this article do not support such an account: In an elicited-production task, 5- to 6-year-old children were found to be sensitive to their partner's perspective. Moreover, in an on-line comprehension task, they showed sensitivity to common-ground information from the initial stages of language processing. We propose that mutual knowledge is not distinct from other knowledge relevant for language processing, and exerts early effects on processing in proportion to its salience and reliability.

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