Browsing by Subject "Condition monitoring"
Now showing items 1-12 of 12
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A component map tuning method for performance prediction and diagnostics of gas turbine compressors
( Elsevier Ltd , 2014 , Article)In this paper, a novel compressor map tuning method is developed with the primary objective of improving the accuracy and fidelity of gas turbine engine models for performance prediction and diagnostics. A new compressor ... -
AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
( Ain Shams University , 2023 , Article)Internet of Things (IoT) and Artificial Intelligence (AI) technologies are currently replacing the traditional methods of handling buildings, infrastructure, and facilities design, control, and maintenance due to their ... -
Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states ... -
Characterisation of major fault detection features and techniques for the condition-based monitoring of high-speed centrifugal blowers
( International Institute of Acoustics and Vibrations , 2016 , Conference Paper)This paper investigates and characterises the major fault detection signal features and techniques for the diagnostics of rotating element bearings and air leakage faults in high-speed centrifugal blowers. The investigation ... -
Cost-effective design of iot-based smart household distribution system
( MDPI , 2021 , Article)The Internet of Things (IoT) plays an indispensable role in present-day household electricity management. Nevertheless, practical development of cost-effective intelligent condition monitoring, protection, and control ... -
Denoising of acoustic partial discharge signals corrupted with random noise
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Power transformers are one of the most important and expensive electrical equipment that require online condition monitoring. Partial discharge (PD) measurement is considered the most effective and non-destructive approach ... -
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ... -
Editorial: Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC)
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the capability to imitate human behavior intelligently as per the task performed by the human. In the modern time, any organization ... -
Multi-sensor degradation data analysis
( Italian Association of Chemical Engineering - AIDIC , 2013 , Conference Paper)Multiple sensors are commonly used for degradation monitoring of critical components. The degradation indicators derived from these sensors are significantly different in terms of scale and interpretation. Since these ... -
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such ... -
Robustness analysis of the FFT-based segmentation, feature selection and machine fault identification algorithm
( British Institute of Non-Destructive Testing , 2019 , Article)This paper aims to experimentally investigate the robustness of a recently developed fast Fourier transform (FFT)-based segmentation, feature selection and fault identification algorithm for the development of practical ... -
Time-frequency diagnosis, condition monitoring, and fault detection
( Elsevier Inc. , 2016 , Book chapter)This chapter aims to further illustrate the (t,f) approach by selecting a few key generic applications of diagnosis and monitoring. The topic is represented by seven sections. One key application is electrical power ...