Nowadays, manufacturing companies are faced with many issues due to the growing
demand for high-quality and reasonable price products. As maintenance expenses of …

This study addresses the challenge of assessing the health condition of centrifugal pumps in
industrial settings without the need for traditional vibrational sensors, which can reduce …

Real-time predictive maintenance is a pivotal driver for the evolution of smart factories,
deeply impacting the realm of sustainable industry practices. Its core function of continuous …

Despite the recent success in data-driven fault diagnosis of rotating machines, there are still
remaining challenges in this field. Among the issues to be addressed, is the lack of …

This thesis proposes novel active noise cancellation (ANC) algorithms based on deep
learning to mitigate non-stationary and nonlinear noise. Traditional active noise control …

Constructive measures should be taken immediately to tackle urban noise pollution, which is
an omnipresent but neglected threat to human health. Many attempts have been made by …

Workers in construction sites are at risk of irregular heartbeats, speech problems, insomnia,
and permanent hearing loss due to being exposed to high noise levels, usually above 85 …

Internet of Things (IoT) based systems are used to define communication systems based on
machine-to-machine interaction. IoT when integrated with convolution neural network (CNN) …

Structural health monitoring (SHM) system is an essential part of large structures to allow for
early detection of possible damages or defects and avoid human or economic losses. In this …

While performing performance analyses, the data set obtained through the experimental
setup developed specifically for this study was used. It was seen that the Autoencoder …