Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Rajkumar Porwal"'
Publikováno v:
Journal of Mines, Metals and Fuels. :1-7
This paper is respecting the evaluation of stress distribution on IC engine (four-stroke) piston ring and analysis of finite element by using FEA software. The purpose of this analysis is to calculate strain for SiC reinforced ZrB2, A360, A2618 and d
Publikováno v:
Noise & Vibration Worldwide. 53:550-578
Rotating machine faults are unavoidable; thus, early diagnosis is essential to avoid further damage to the machine or other machine attached to it. Various signal analysis based conventional techniques have been developed and used in the industries t
Publikováno v:
Materials Today: Proceedings. 66:829-833
Publikováno v:
Journal of Intelligent Manufacturing. 34:931-960
The fault monitoring and diagnosis of industrial machineries are very significant in Industry 4.0 revolution but are often complicated and labour intensive. The application of artificial intelligence (AI) techniques have now been an important part of
Publikováno v:
Noise & Vibration Worldwide. 52:323-333
The diagnosis of mechanical and electrical faults of induction motors (IMs) has been performed using artificial neural networks (ANN) for similar, interpolated and extrapolated operating speeds. The current and vibration signals of faulty and healthy
Publikováno v:
Materials Today: Proceedings. 44:428-433
In the automobile industry, the fuel efficiency of the internal combustion (IC) engine is an essential parameter. In the IC engine, the piston ring-cylinder liner pair is the largest source of frictional losses and engine oil consumption. It accounts
Publikováno v:
Materials Today: Proceedings. 44:1369-1374
Modern days accelerators-based on superconducting technologies are increasingly being used to accelerate the charge particles. SCRF (Superconducting Radiofrequency) cavities, made up of superconducting material, are highly sensitive to any perturbati
Publikováno v:
Vibroengineering PROCEDIA. 30:55-60
This paper describes an Artificial Neural Network (ANN) based fault diagnosis methodology for Induction Motors (IM) operating under the same conditions for various speeds and loads. In this study, ten different IM fault conditions are considered. We
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1136:012059
Among all the motors Induction motor (IM) plays a vital role in industry and the demand for their reliability and safe operation is increasing day by day. They are reliable but they do wear out if not maintained timely which in turn will lead to exce
Publikováno v:
Engineering Research Express. 3:025025
Superconducting technologies are widely used in modern radiofrequency (RF) cavities for particle accelerators in various fields of applications. The Superconducting radiofrequency (SCRF) cavities are highly sensitive to small perturbation on cavity d