Remote diagnostics of vibrations of dynamic objects by Doppler microwave sensors

Metrologiya ◽  
2020 ◽  
pp. 25-42
Author(s):  
Dmitrii V. Khablov
Keyword(s):  
Intelligent Systems ◽  
Electromagnetic Waves ◽  
Continuous Monitoring ◽  
Phase Changes ◽  
Vibration Diagnostics ◽  
Remote Diagnostics ◽  
Active Vibration ◽  
Dynamic Objects ◽  
Microwave Sensors ◽  
Non Destructive

This paper describes a promising method for non-contact vibration diagnostics based on the use of Doppler microwave sensors. In this case, active irradiation of the object with electromagnetic waves and the allocation of phase changes using two-channel quadrature processing of the received reflected signal are used. The modes of further fine analysis of the resulting signal using spectral or wavelet transformations depending on the nature of the active vibration are considered. The advantages of this non-contact and remote vibration analysis method for the study of complex dynamic objects are described. The convenience of the method for machine learning and use in intelligent systems of non-destructive continuous monitoring of the state of these objects by vibration is noted.

scholarly journals A REVIEW ON PATIENT-CONTROLLED ANALGESIA INFUSION SYSTEM

2017 ◽  
Vol 10 (13) ◽  
pp. 117
Author(s):  
Usha Rani Shola ◽  
Neela Narayanan V
Keyword(s):  
Intelligent Systems ◽  
Continuous Monitoring ◽  
Patient Monitoring ◽  
Quality Care ◽  
Infusion Pump ◽  
Care Process ◽  
Patient Controlled Analgesia ◽  
Drug Infusion ◽  
Infusion System ◽  
Pump Infusion

PCA is a patient-controlled analgesia infusion pump, which is used to infuse the medicine into the patients after surgery. It contains a syringe with pain medicine to infuse that is prescribed by the physician. The drugs used for pain control are high-alert medicines, since overmedication may cause death to the patients. These types of unbearable events may happen due to medical errors, prescription errors, adverse events (AEs), etc. Hence, it requires a precautionary attention or continuous monitoring for PCA pump infusion patients. However, always physicians or nurses may not monitor a patient continuously. To provide safety to the patient, the PCA pump needs a smart care process to alert the physician. This study represents the survey on PCA pump errors, AEs, and solutions for it to avoid them. The solution will automatically alert the infusion-related situation of the patients, those are taking the intravenous drug infusion at different procedure rooms in the hospitals. Moreover, it increases the safety to infusion pump with advances of decision-making in health, patient monitoring, alert notification to nursing, and productivity. This quality care can be achieved by integrating the PCA pump with other intelligent systems.  

EVERYTHING IS UNDER CONTROL: TESTING & CONTROL + NDT RUSSIA 2020

2021 ◽  
pp. 52-59
Author(s):  
V. I. Matveev ◽  
P. E. Kleyzer
Keyword(s):  
Non Destructive Testing ◽  
Destructive Testing ◽  
Vibration Diagnostics ◽  
Physical Methods ◽  
Object Of Control ◽  
Non Destructive

The article briefly discusses the main achievements of companies in the field of creation and application of technical means intended for testing, measurement and non-destructive testing of modern structures and materials for various purposes. These are means of vibration diagnostics and non-destructive testing based on the use of various physical methods of interaction of radiation and fields with the substance and the object of control. Brief information is given about the companies that deal with these problems.

Raman Spectroscopy in the investigations of indexable knives for wood-based materials machining

2021 ◽  
Vol 114 ◽  
pp. 33-42
Author(s):  
Marek Barlak ◽  
Jacek Wilkowski ◽  
Magdalena Wilczopolska ◽  
Zbigniew Werner ◽  
Bogdan Staszkiewicz ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Electron Beam ◽  
Phase Composition ◽  
Phase Changes ◽  
Plasma Beam ◽  
Preliminary Results ◽  
Destructive Analysis ◽  
Non Destructive

Raman spectroscopy for examination of WC-Co tools in wood-base machining. An attempt is undertaken to apply Raman Spectroscopy for examination of WC-Co tools for wood-base machining. The virgin tools were compared with those implanted with nitrogen, modified by electron beam and plasma beam pulses. The preliminary results suggest a possibility of applying this method for fast, non-destructive analysis of phase composition and phase changes in the microstructure of the investigated tools

scholarly journals Research Methods And Experiments of Piezoelectric Plates

2020 ◽  
Vol 318 ◽  
pp. 01047
Author(s):  
Andrzej Wróbel
Keyword(s):  
Intelligent Systems ◽  
Piezoelectric Materials ◽  
Computational Cost ◽  
Intelligent Materials ◽  
Active Vibration Damping ◽  
Active Vibration ◽  
Electrical Part ◽  
Mathematical Equations ◽  
The Ideal ◽  
Piezoelectric Plates

The correct design of technical systems requires consideration of both geometrical and material parameters not only of the mechanical part, but also of the electrical part of the system. The correct assessment of characteristics and testing of intelligent systems should be carried out by both theoretical analyzes and laboratory tests. Usually this description is by means of mathematical equations. The ideal solution is in which it is possible to refine the object in such a way that the obtained model is the most accurate, and even the same as the physical model. Considering the complexity of the model, computational cost, computational possibilities and time-consuming calculations would practically prevent the use of this model. Intelligent materials are more often used for active vibration damping. They can be defined as a group of materials that have the ability to change their physical properties in an appropriate way as a result of external influences. One of the most popular materials in this group are piezoelectric materials. They are used where it is necessary to reduce vibrations with small amplitudes of μm and work in high frequency ranges. In the presented article, the author will attempt to refine the model of intelligent materials with particular emphasis on piezoelectric plates.

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