Search Results - "Glowacz, Adam"
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Fault diagnosis of single-phase induction motor based on acoustic signals
Published in Mechanical systems and signal processing (15-02-2019)“…•Methods of fault diagnosis of the single-phase induction motor were proposed.•Original method of feature extraction of acoustic signal called…”
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2
Ventilation Diagnosis of Angle Grinder Using Thermal Imaging
Published in Sensors (Basel, Switzerland) (18-04-2021)“…The paper presents an analysis and classification method to evaluate the working condition of angle grinders by means of infrared (IR) thermography and IR…”
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3
Fault diagnosis of electric impact drills using thermal imaging
Published in Measurement : journal of the International Measurement Confederation (01-02-2021)“…•Thermal based fault diagnosis of electric impact drills is presented.•Thermal images of three states of the electric impact drill are analyzed.•Method of the…”
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4
Thermographic Fault Diagnosis of Shaft of BLDC Motor
Published in Sensors (Basel, Switzerland) (01-11-2022)“…A technique of thermographic fault diagnosis of the shaft of a BLDC (Brushless Direct Current Electric) motor is presented in this article. The technique works…”
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5
Thermographic Fault Diagnosis of Ventilation in BLDC Motors
Published in Sensors (Basel, Switzerland) (30-10-2021)“…Thermographic fault diagnosis of ventilation in BLDC (brushless DC) motors is described. The following states of BLDC motors were analyzed: a healthy BLDC…”
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6
Fault Detection of Electric Impact Drills and Coffee Grinders Using Acoustic Signals
Published in Sensors (Basel, Switzerland) (11-01-2019)“…Increasing demand for higher safety of motors can be noticed in recent years. Developing of new fault detection techniques is related with higher safety of…”
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Recognition of Acoustic Signals of Commutator Motors
Published in Applied sciences (01-12-2018)“…Most faults can stop a motor, and time is lost in fixing the damaged motor. This is a reason why it is essential to develop fault-detection methods. This paper…”
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8
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
Published in Measurement : journal of the International Measurement Confederation (01-01-2018)“…•Technique of fault diagnosis of the single-phase induction motor was proposed.•Original method of feature extraction of acoustic signal called…”
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9
Recognition of Acoustic Signals of Synchronous Motors with the Use of MoFS and Selected Classifiers
Published in Measurement science review (01-08-2015)“…This paper proposes an approach based on acoustic signals for detecting faults appearing in synchronous motors. Acoustic signals of a machine were used for…”
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10
Navigating an Automated Driving Vehicle via the Early Fusion of Multi-Modality
Published in Sensors (Basel, Switzerland) (13-02-2022)“…The ability of artificial intelligence to drive toward an intended destination is a key component of an autonomous vehicle. Different paradigms are now being…”
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11
Vibration-Based Fault Diagnosis of Commutator Motor
Published in Shock and vibration (01-01-2018)“…This paper presents a study on vibration-based fault diagnosis techniques of a commutator motor (CM). Proposed techniques used vibration signals and signal…”
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12
Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
Published in Advances in Mechanical Engineering (01-02-2021)“…Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating machinery (RM) has a vital role in the modern industrial world. However, the…”
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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor
Published in Shock and vibration (2020)“…The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating machinery (RM) have critical importance for early diagnosis to…”
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14
Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine
Published in Energies (Basel) (01-06-2020)“…Forecasting the electricity load provides its future trends, consumption patterns and its usage. There is no proper strategy to monitor the energy consumption…”
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15
Fault diagnostics of DC motor using acoustic signals and MSAF-RATIO30-EXPANDED
Published in Archives of Electrical Engineering (Online) (01-12-2016)“…Abstract An early fault diagnostic method of Direct Current motors was presented in this article. The proposed method used acoustic signals of a motor. A…”
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16
Damage Detection for Conveyor Belt Surface Based on Conditional Cycle Generative Adversarial Network
Published in Sensors (Basel, Switzerland) (03-05-2022)“…The belt conveyor is an essential piece of equipment in coal mining for coal transportation, and its stable operation is key to efficient production. Belt…”
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17
Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach
Published in Energies (Basel) (01-08-2020)“…Increasing waste generation has become a significant issue over the globe due to the rapid increase in urbanization and industrialization. In the literature,…”
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Adaptive Contrastive Learning with Label Consistency for Source Data Free Unsupervised Domain Adaptation
Published in Sensors (Basel, Switzerland) (02-06-2022)“…Unsupervised domain adaptation, which aims to alleviate the domain shift between source domain and target domain, has attracted extensive research interest;…”
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Modelling of Material Removal in Abrasive Belt Grinding Process: A Regression Approach
Published in Symmetry (Basel) (01-01-2020)“…This article explores the effects of parameters such as cutting speed, force, polymer wheel hardness, feed, and grit size in the abrasive belt grinding process…”
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Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron
Published in Sensors (Basel, Switzerland) (19-07-2021)“…Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the…”
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