Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"advanced signal processing techniques"”.
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems
… the well-established condition monitoring techniques are based on steady-state analysis of various diagnostic variables (i.e. current, voltage, power, etc.). These steady-state techniques are currently being applied to most machine-related applications, however it is well known that machine …
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems
… the well established condition monitoring techniques are based on steadystate analysis of various diagnostic variables (i.e. current, voltage, power, etc.). These steadystate techniques are currently being applied to most machine-related applications, however it is well known that machine …
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems
… examines the use of two time-frequency domain signal processing tools in its application to condition monitoring of electrical machine drive systems. The mathematical and signal processing tools which are explored are wavelet analysis and a non-stationary adaptive signal processing algorithm. …
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Detection of faults in a scaled down doubly-fed induction generator using advanced signal processing techniques.
… current, rotor current, and the DFIG controller signals using the motor current signature analysis (MCSA) and discrete wavelet transform (DWT) analysis techniques to detect the dominant frequency components which are indicative of these faults. The purpose of the study is to evaluate and identify …
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Methodology for innovative health monitoring of aerospace structures using dynamic response measurements and advanced signal processing techniques
The main purpose of the present work is to develop an innovative system for Structural Health Monitoring (SHM) of aerospace composite structures based on dynamic strain measurements in order to identify in an exhaustive way the structural state condition. Fiber Bragg Grating (FBG) optical sensors …
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Advanced signal processing techniques for the analysis of solar radiometer data in the presence of temporally varying aerosol optical depths
… method. In this dissertation, a number of new signal processing techniques are developed to better characterize aerosol variability and use it to obtain improved intercepts under a broad range of conditions. The techniques include (1) an extension of Forgan's method, using correlation between …
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Development of an Optical Profilometer and the Related Advanced Signal Processing Methods for Monitoring Surface Quality of Wood Machining Applications
… descriptors as well as the development of advanced signal processing techniques such as the wavelet transform to accurately describe the quality of a surface as well as provide information to the machine operator on the cause of the loss of surface quality, and (3) development of a software …
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Fault detection design for three-phase voltage source inverter in power train applications
… point of this study involves the application of advanced signal processing techniques to adeptly identify and diagnose potential faults. Through the signal processing mixed clustering technique, we are able to use the proposed algorithm to compare the reference gate-driving signal with the actual …
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Machine Learning and Geostatistical Approaches for Discovery of Weather and Climate Events Related to El Niño Phenomena
… the coherence and periodicity of the ENSO signal to detect its implications on MENA Region using earth observations, machine learning, and advanced signal processing techniques. Moreover, we examined ecological and environmental crises created by global warming and unusual weather patterns …
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Machine Learning-Driven Corrosion Detection and Classification in Pipelines
… and classifying pipeline corrosion using advanced signal processing techniques and machine learning algorithms. The study is grounded in a positivist research philosophy, employing a deductive approach to apply established theories in a real-world context. Data for this research was …
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Channel characterisation and modelling for transcranial Doppler ultrasound.
The detection of micro-embolic signals (MES) is a mature application of transcranial Doppler (TCD) ultrasound. It involves the identification of abnormally highpitched signals within the arterial waveform as a method of diagnosis and prediction of embolic complications in stroke patients. More …
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A Physiological Signal Processing System for Optimal Engagement and Attention Detection.
… system which uses fundamental physiological signals such as the Electrocardiograph (ECG), to analyze and predict the presence or lack of cognitive attention in individuals during task execution. The primary focus of this study is to identify the correlation between fluctuating level of …
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Artificial Intelligence and Signal Analysis for COPD Classification: Detecting and Understanding of Respiratory Disease Severities
… utilisation of artificial intelligence (AI) and advanced signal processing techniques to enhance the diagnostic potential of pulmonary auscultation audio for automatic COPD identification and severity assessment. The research comprises three main parts: 1) developing algorithms for compression …
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Enhancing brain-computer interfacing through advanced independent component analysis techniques
… output pathways but is detected through brain signals. Some severe motor impairments, such as Amyothrophic Lateral Sclerosis, head trauma, spinal injuries and other diseases may cause the patients to lose their muscle control and become unable to communicate with the outside environment. …
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A study on the behaviour of guided wave propagation in utility timber poles
… branches of longitudinal and flexural waves in a signal are presented in order to propose a suitable input frequency and number of cycles, the distances among the sensors, the location and orientation of sensors, etc. Although the analytical GW solution can offer a number of suggestions for the …
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Multi-defect localization and evaluation techniques for distribution cables based on time-domain reflectometry
… localizing cable defects. By injecting a pulse signal into the cable and analyzing the reflected signal, TDR enables the detection and localization of defects. However, due to limited understanding of defect-related signal propagation characteristics, the lack of advanced signal processing …