A5050093885- Machine Fault Diagnosis Techniques
- Engineering Diagnostics and Reliability
- Fault Detection and Control Systems
- Control Systems in Engineering
- Non-Destructive Testing Techniques
- Advancements in Materials Engineering
- Surface Treatment and Coatings
- Gear and Bearing Dynamics Analysis
- Electric Motor Design and Analysis
- Induction Heating and Inverter Technology
- Mineral Processing and Grinding
- Renewable energy and sustainable power systems
- Thermography and Photoacoustic Techniques
- Neural Networks and Applications
- Technical Engine Diagnostics and Monitoring
- Electric Power Systems and Control
- Industrial Engineering and Technologies
- Transportation Systems and Safety
- Oil and Gas Production Techniques
- Autonomous Vehicle Technology and Safety
- Hydraulic and Pneumatic Systems
- Magnetic Properties and Applications
- Robotic Path Planning Algorithms
- Mechanical and Thermal Properties Analysis
- Engineering Technology and Methodologies
AGH University of Krakow
2015-2024
University of Applied Sciences and Arts of Southern Switzerland
2024
Cracow University of Technology
2022-2024
University of Žilina
2023
Oil and Gas Institute - National Research Institute
2022
Silesian University of Technology
2018
Najran University
2017
Shaqra University
2017
Institute for Agricultural and Earthmoving Machines
2017
Eko-Energia (Poland)
2014
The paper presents an analysis and classification method to evaluate the working condition of angle grinders by means infrared (IR) thermography IR image processing. An innovative called BCAoMID-F (Binarized Common Areas Maximum Image Differences—Fusion) is proposed in this paper. This used extract features thermal images three grinders. computed are 1-element or 256-element vectors. Feature vectors sum pixels matrix V PCA histogram V. Three different cases were considered: healthy grinder,...
A compact tree shape planar quad element Multiple Input Output (MIMO) antenna bearing a wide bandwidth for 5G communication operating in the millimeter-wave spectrum is proposed. The radiating of proposed design contains four different arcs to achieve response. Each backed by 1.57 mm thicker Rogers-5880 substrate material, having loss tangent and relative dielectric constant 0.0009 2.2, respectively. measured impedance MIMO system based on 10 dB criterion from 23 GHz 40 with port isolation...
This work presents the development of novel convolutional neural network (NCNN) for effective identification bearing defects from small samples. For feature learning training data, cost function convolution (CNN) is modified by adding additional sparsity in existing function. A trigonometric cross-entropy developed to compute cost. The proposed introduces avoiding unnecessary activation neurons hidden layers CNN. samples, NCNN-based transfer applied following manner. First, raw vibration...
A technique of thermographic fault diagnosis the shaft a BLDC (Brushless Direct Current Electric) motor is presented in this article. The works for shivering thermal imaging camera range 0-1.5 [m/s2]. An electric shaver was used as source motor. following states were analyzed: Healthy (HB), with one faulty (1FSB), two shafts (2FSB), and three (3FSB). new method feature extraction named PNID (power normalized image difference) presented. Deep neural networks analysis images motor: GoogLeNet,...
Abstract Nowadays detection of deterioration electrical motors is an important topic research. Vibration signals often carry diagnostic information a motor. The authors proposed setup for the analysis vibration three-phase induction motors. In this paper rotor fault techniques motor (TPIM) were presented. presented used and signal processing methods. analyzed recognition rate readings 3 states TPIM: healthy TPIM, TPIM with 1 broken bar, 2 bars. described method feature extraction Method...
Increasing waste generation has become a significant issue over the globe due to rapid increase in urbanization and industrialization. In literature, many issues that have direct impact on of improper disposal been investigated. Most existing work literature focused providing cost-efficient solution for monitoring garbage collection system using Internet Things (IoT). Though an IoT-based provides real-time system, it is limited control spreading overspill bad odor blowout gasses. The poor...
Traffic congestion is one of the most notable urban transport problems, as it causes high energy consumption and air pollution. Unavailability free parking spaces major reasons for traffic jams. Congestion are interrelated because searching a spot creates additional delays increase local circulation. In center large cities, 10% circulation due to cruising, drivers nearly spend 20 min space. Therefore, necessary develop space availability prediction system that can inform in advance about...
COVID-19 syndrome has extensively escalated worldwide with the induction of year 2020 and resulted in illness millions people. patients bear an elevated risk once symptoms deteriorate. Hence, early recognition diseased can facilitate intervention avoid disease succession. This article intends to develop a hybrid deep neural networks (HDNNs), using computed tomography (CT) X-ray imaging, predict onset suffering from COVID-19. To be precise, subjects were classified into 3 categories namely...
Abstract Early identification of rolling element defects is always a topic interest for researchers and the industry. For early fault identification, simple effective dynamic degradation monitoring method using variational mode decomposition (VMD) based trigonometric entropy measure developed. First, vibration signals are obtained further decomposed VMD to obtain various frequency modes. Second, developed monitor change occurring in health bearing. Third, modes computed. Fourth, variance...
Forecasting the electricity load provides its future trends, consumption patterns and usage. There is no proper strategy to monitor energy generation; high variation among them. Many strategies are used overcome this problem. The correct selection of parameter values a classifier still an issue. Therefore, optimization algorithm applied with deep learning machine techniques select optimized for classifier’s hyperparameters. In paper, novel learning-based method implemented forecasting. A...
The Coronavirus disease 2019 (COVID-19) is an infectious spreading rapidly and uncontrollably throughout the world. critical challenge rapid detection of infected people. available techniques being utilized are body-temperature measurement, along with anterior nasal swab analysis. However, taking swabs lab testing complex, intrusive, require many resources. Furthermore, lack test kits to meet exceeding cases also a major limitation. current develop some technology non-intrusively detect...
Thermographic fault diagnosis of ventilation in BLDC (brushless DC) motors is described. The following states were analyzed: a healthy motor running at 1450 rpm, 2100 blocked the clipper, and clipper. A feature extraction method called Common Part Arithmetic Mean Images (CPoAMoTI) was proposed. Test thermal images analyzed successfully. developed method, CPoAMoTI useful for industry society. Electric cars, trains, fans, clippers, computers, cordless power tools can be diagnosed using method.