Non-Invasive Monitoring of the Technical Condition of Power Units Using the FAM-C and FDM-A Electrical Methods

2021 ◽  
Vol 13 (23) ◽  
pp. 13329
Author(s):  
Mariusz Zieja ◽  
Andrzej Gębura ◽  
Andrzej Szelmanowski ◽  
Bartłomiej Główczyk
Keyword(s):  
Air Force ◽  
Frequency Measurement ◽  
Technical Condition ◽  
Invasive Monitoring ◽  
Non Invasive ◽  
Structural Work ◽  
Electronic Frequency ◽  
Institute Of Technology ◽  
Aircraft Propulsion System

This article presents the selected results of analytical and structural work conducted at the Air Force Institute of Technology (pl. ITWL) in the field of building a measuring apparatus for non-invasive monitoring of the technical condition of aircraft power units. Presented innovative FAM-C and FDM-A methods allow for observation of frequency modulation parameters as well as identification and diagnostic classification of particular mechanical subassemblies supplying the on-board generator and thus enable non-invasive monitoring of technical condition of the aircraft power unit and the aircraft propulsion system. The main purpose of this article is to present the measurement apparatus errors that occur in the signal conditioning system in the FAM-C and FDM-A methods. In spite of the fact that the measuring instrument was built on the basis of digital technology and that it uses typical solutions of electronic frequency measurement, due to the specificity of the applied diagnostic method there occur specific measuring errors which are presented in this article.

Investigations on corrosion of aircrafts in the aspect of prolonged service life and operation driven by their technical condition

2012 ◽  
Vol 30 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Piotr Barszcz
Keyword(s):  
Service Life ◽  
Air Force ◽  
Atmospheric Corrosion ◽  
Protective Coatings ◽  
Technical Condition ◽  
Structural Components ◽  
Institute Of Technology ◽  
Corrosion Investigation ◽  
Prolonged Service ◽  
Research Studies

Research studies that are conducted by both the Air Force Institute of Technology (AFIT) and other domestic and foreign organizations indicate that investigations of corrosion phenomena present a very important factor with respect to prolongation of technical resources and operation of aircraft driven by their actual technical condition. The investigation of the corrosion degree and deterioration of protective coatings must be carried out in a systemic manner with thorough analysis of information that bring together the aircraft operation and the processes of corrosion and deterioration of protective coatings. The investigation must comprise measurements of the atmospheric corrosion in order to determine corrosive aggressiveness of the atmosphere and establish frequency and scope of corrosion inspection. Only the analysis of gathered information with its characteristics may guarantee safe operation of structural components of aircrafts according to their actual technical condition. This paper outlines the approach to corrosion investigation that is in place in AFIT.

scholarly journals Computer Aided Diagnosis of Technical Condition of the SWLP-1 Helmet Mounted Flight Parameters Display System / Komputerowe Diagnozowanie Stanu Technicznego Systemu Nahełmowego Wyświetlania Parametrów Lotu SWPL-1

2014 ◽  
Vol 31 (1) ◽  
pp. 74-83
Author(s):  
Sławomir Michalak ◽  
Jerzy Borowski ◽  
Andrzej Szelmanowski
Keyword(s):  
Air Force ◽  
Diagnostic Tests ◽  
Defense Industry ◽  
Technical Condition ◽  
Flight Safety ◽  
Display System ◽  
Flight Parameters ◽  
The Republic ◽  
Institute Of Technology ◽  
Aided Diagnosis

Abstract The paper presents selected results of the work carried out at the Air Force Institute of Technology (AFIT) in the scope of computer diagnostic tests of the SWPL-1 Cyklop helmet mounted flight parameters display system. This system has been designed in such a way that it warns the pilot of dangerous situations occurring on board the helicopter and threatening the flight safety (WARN) or faults (FAIL), which inform about a failure in given on-board equipment. The SWPL-1 system has been awarded the Prize of the President of the Republic of Poland during the 17. International Defense Industry Exhibition in Kielce.

scholarly journals Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yunjeong Yang ◽  
Ji Eun Kim ◽  
Hak Jin Song ◽  
Eun Bin Lee ◽  
Yong-Keun Choi ◽  
...  
Keyword(s):  
Water Content ◽  
Monitoring System ◽  
Standing Wave ◽  
Magnetic Particles ◽  
Experimental Plant ◽  
Invasive Monitoring ◽  
Monitoring Method ◽  
Non Invasive ◽  
Content Variation ◽  
Stem Water

Abstract Background Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live plants is necessary. In this study, we aimed to develop a non-invasive, radiofrequency-based monitoring system to rapidly and accurately detect water content variation in live plants. The changes in standing wave ratio (SWR) caused by the presence of stem water and magnetic particles in the stem water flow were used as the basis of plant monitoring systems. Results The SWR of a coil probe was used to develop a non-invasive monitoring system to detect water content variation in live plants. When water was added to the live experimental plants with or without illumination under drought conditions, noticeable SWR changes at various frequencies were observed. When a fixed frequency (1.611 GHz) was applied to a single experimental plant (Radermachera sinica), a more comprehensive monitoring, such as water content variation within the plant and the effect of illumination on water content, was achieved. Conclusions Our study demonstrated that the SWR of a coil probe could be used as a real-time, non-invasive, non-destructive parameter for detecting water content variation and practical vital activity in live plants. Our non-invasive monitoring method based on SWR may also be applied to various plant studies.

Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network

2021 ◽  
Vol 137 ◽  
pp. 106861
Author(s):  
Deepa Joshi ◽  
Ankit Butola ◽  
Sheetal Raosaheb Kanade ◽  
Dilip K. Prasad ◽  
S.V. Amitha Mithra ◽  
...  
Keyword(s):  
Neural Network ◽  
Optical Coherence Tomography ◽  
Deep Neural Network ◽  
Optical Coherence ◽  
Label Free ◽  
Non Invasive ◽  
Rice Seeds
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