Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor

A Choudhary, RK Mishra, S Fatima… - … Applications of Artificial …, 2023 - Elsevier
Induction motor (IM) is a highly efficient prime mover in industrial applications. To maintain
an uninterrupted operation, accurate fault diagnosis system of IM is required. It can help to …

An intelligent fault diagnosis approach for multirotor UAVs based on deep neural network of multi-resolution transform features

LA Al-Haddad, AA Jaber - Drones, 2023 - mdpi.com
As a modern technological trend, unmanned aerial vehicles (UAVs) are extensively
employed in various applications. The core purpose of condition monitoring systems …

Modeling and dynamic response of parallel shaft gear transmission in non-inertial system

A Zhang, J Wei, L Shi, D Qin, TC Lim - Nonlinear Dynamics, 2019 - Springer
Gear transmissions play a critical role as a bridge between power elements and actuators.
They are either fixed to the ground or operated in spatial motion, depending on the carrier to …

Alternative fuels and their impact on reducing pollution of the natural environment

D Pyza, I Jacyna-Gołda, P Gołda… - Rocznik Ochrona …, 2018 - yadda.icm.edu.pl
Set The Environ ocznik Ochrona Ś k 2018 nd Their I he Natural za*, Ilona Jacy da**, Piotr Go
University of T e Institute of T d by the Euro affects the tra eenhouse gas e ording to the e, the …

Single-valued neutrosophic set correlation coefficient and its application in fault diagnosis

S Iryna, Y Zhong, W Jiang, X Deng, J Geng - Symmetry, 2020 - mdpi.com
With the increasing automation of mechanical equipment, fault diagnosis becomes more
and more important. However, the factors that cause mechanical failures are becoming more …

[PDF][PDF] A generalized method for assessing emissions from road and air transport on the example of Warsaw Chopin Airport

MJ Wasiak, AI Niculescu… - Archives of Civil …, 2020 - bibliotekanauki.pl
The article presents a method for assessing emissions of harmful substances and noise from
road and air transport, as well as a combined assessment of the emissions of these transport …

[PDF][PDF] An Intelligent Fault Diagnosis Approach for Multirotor UAVs Based on Deep Neural Network of Multi-Resolution Transform Features, Drones, 2023, 7, 82

LA Al-Haddad, AA Jaber - 2023 - researchgate.net
As a modern technological trend, unmanned aerial vehicles (UAVs) are extensively
employed in various applications. The core purpose of condition monitoring systems …

A neutrosophic set based fault diagnosis method based on multi-stage fault template data

W Jiang, Y Zhong, X Deng - Symmetry, 2018 - mdpi.com
Fault diagnosis is an important issue in various fields and aims to detect and identify the
faults of systems, products, and processes. The cause of a fault is complicated due to the …

Design and analysis of a feedback loop to regulate the basic parameters of the unmanned aircraft

M Chodnicki, K Bartnik, M Nowakowski… - Aircraft Engineering …, 2018 - emerald.com
Design and analysis of a feedback loop to regulate the basic parameters of the unmanned
aircraft | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

Vibration analysis of a turbocharger with an additively manufactured compressor wheel

A Andrearczyk, P Bagiński - Zeszyty Naukowe. Transport …, 2020 - yadda.icm.edu.pl
This article presents the vibration analysis of a turbocharger, whose compression wheel was
manufactured using a high-precision additive manufacturing technology. Currently, there are …