scholarly journals Energy model of change in technical condition of aircraft power plants and space propulsion systems

2017 ◽  
Vol 40 (2) ◽  
pp. 61-99
Author(s):  
Sławomir Augustyn
Keyword(s):  
Artificial Intelligence ◽  
Power Plants ◽  
Technical Condition ◽  
Energy Model ◽  
Structural Systems ◽  
Space Propulsion ◽  
Propulsion Systems ◽  
Flight Operations ◽  
Significant Research ◽  
Complex Structural

AbstractThe publication describes an example of the energy model of change in the technical condition of aircraft power plants and space propulsion systems, which enables to shape their dependability by simultaneously ensuring the safety of flight operations and more economical operation.The approach presented in this publication has a significant research value as regards widening knowledge on shaping dependability of power plants.Further research on developing the diagnostic energy model of aircraft power plants and space propulsion systems should involve implementing in their complex structural systems the elements of artificial intelligence based on expert systems or artificial neural networks.

Application of Artificial Intelligence to Gearbox Fault Diagnosis

2016 ◽  
pp. 536-562
Author(s):  
Anand Parey ◽  
Amandeep Singh Ahuja
Keyword(s):  
Artificial Intelligence ◽  
Fault Diagnosis ◽  
Power Plants ◽  
Human Life ◽  
Propulsion Systems ◽  
Marine Propulsion ◽  
Rotary Machines ◽  
Domestic Appliances ◽  
Financial Losses ◽  
Significant Milestone

Gearboxes are employed in a wide variety of applications, ranging from small domestic appliances to the rather gigantic power plants and marine propulsion systems. Gearbox failure may not only result in significant financial losses resulting from downtime of machinery but may also place human life at risk. Gearbox failure in transmission systems of warships and single engine aircraft, beside other military applications, is unacceptable. The criticality of the gearbox in rotary machines has resulted in enormous effort on the part of researchers to develop new and efficient methods of diagnosing faults in gearboxes so that timely rectification can be undertaken before catastrophic failure occurs. Artificial intelligence (AI) has been a significant milestone in automated gearbox fault diagnosis (GFD). This chapter reviews over a decade of research efforts on fault diagnosis of gearboxes with AI techniques. Some of areas of AI in GFD which still merit attention have been identified and discussed at the end of the chapter.

Application of Artificial Intelligence to Gearbox Fault Diagnosis

2018 ◽  
pp. 2087-2113
Author(s):  
Anand Parey ◽  
Amandeep Singh Ahuja
Keyword(s):  
Artificial Intelligence ◽  
Fault Diagnosis ◽  
Power Plants ◽  
Human Life ◽  
Propulsion Systems ◽  
Marine Propulsion ◽  
Rotary Machines ◽  
Domestic Appliances ◽  
Financial Losses ◽  
Significant Milestone

Gearboxes are employed in a wide variety of applications, ranging from small domestic appliances to the rather gigantic power plants and marine propulsion systems. Gearbox failure may not only result in significant financial losses resulting from downtime of machinery but may also place human life at risk. Gearbox failure in transmission systems of warships and single engine aircraft, beside other military applications, is unacceptable. The criticality of the gearbox in rotary machines has resulted in enormous effort on the part of researchers to develop new and efficient methods of diagnosing faults in gearboxes so that timely rectification can be undertaken before catastrophic failure occurs. Artificial intelligence (AI) has been a significant milestone in automated gearbox fault diagnosis (GFD). This chapter reviews over a decade of research efforts on fault diagnosis of gearboxes with AI techniques. Some of areas of AI in GFD which still merit attention have been identified and discussed at the end of the chapter.

scholarly journals Predictive Maintenance Neural Control Algorithm for Defect Detection of the Power Plants Rotating Machines Using Augmented Reality Goggles

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7632
Author(s):  
Krzysztof Lalik ◽  
Filip Wątorek
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Power Plants ◽  
Neural Control ◽  
Processing System ◽  
Direct Interaction ◽  
Physical Structure ◽  
Technical Condition ◽  
Wear Analysis ◽  
Technical Evaluation

The concept of predictive and preventive maintenance and constant monitoring of the technical condition of industrial machinery is currently being greatly improved by the development of artificial intelligence and deep learning algorithms in particular. The advancement of such methods can vastly improve the overall effectiveness and efficiency of systems designed for wear analysis and detection of vibrations that can indicate changes in the physical structure of the industrial components such as bearings, motor shafts, and housing, as well as other parts involved in rotary movement. Recently this concept was also adapted to the field of renewable energy and the automotive industry. The core of the presented prototype is an innovative interface interconnected with augmented reality (AR). The proposed integration of AR goggles allowed for constructing a platform that could acquire data used in rotary components technical evaluation and that could enable direct interaction with the user. The presented platform allows for the utilization of artificial intelligence to analyze vibrations generated by the rotary drive system to determine the technical condition of a wind turbine model monitored by an image processing system that measures frequencies generated by the machine.

Rowing electric installations: overview, analysis, development prospects

2022 ◽  
Author(s):  
Aleksey Burkov ◽  
Viktor Mihanoshin
Keyword(s):  
Power Plants ◽  
Theory And Practice ◽  
Power Engineering ◽  
Educational Institutions ◽  
Propulsion Systems ◽  
Ship Propulsion ◽  
Electrical Systems ◽  
Overview Analysis ◽  
Technical Solutions ◽  
Development Prospects

The monograph provides an overview and analysis of ship's rowing electrical installations, modern scientific and technical solutions aimed at improving the theory and practice of electrical systems of ship propulsion systems are considered. Solutions of urgent problems related to the development of rowing electric installations of small-tonnage vessels based on the introduction of combined power plants, including electrochemical sources of electricity (batteries), are proposed. It is intended for scientific and educational purposes and is aimed at specialists in the field of ship power engineering, cadets and students of electromechanical specialties of educational institutions.

Assessment of driving quality and its impact on changes in the technical condition of self-driving cars

2020 ◽  
pp. 24-26
Keyword(s):  
Artificial Intelligence ◽  
Life Cycle ◽  
Computer Technology ◽  
Technical Condition ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Machine Maintenance ◽  
Current Task ◽  
Self Driving Cars

The article describes the current task of developing and improving existing technologies for machine maintenance throughout the entire life cycle. The use of modern achievements in the field of computer technology, digitization of information, as well as the development of artificial intelligence technologies, will allow you to get new scientific and engineering results aimed at managing the technical condition of machines in operation.

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