Prognostics and remaining useful life prediction of machinery: advances, opportunities and challenges
As the fundamental and key technique to ensure the safe and reliable operation of vital
systems, prognostics with an emphasis on the remaining useful life (RUL) prediction has …
systems, prognostics with an emphasis on the remaining useful life (RUL) prediction has …
A review on prognostics methods for engineering systems
Due to the advancements in sensing technologies and computational capabilities, system
health assessment and prognostics have been extensively investigated in the literature …
health assessment and prognostics have been extensively investigated in the literature …
Multimodal data fusion for systems improvement: A review
In recent years, information available from multiple data modalities has become increasingly
common for industrial engineering and operations research applications. There have been a …
common for industrial engineering and operations research applications. There have been a …
Adversarial regressive domain adaptation approach for infrared thermography-based unsupervised remaining useful life prediction
Infrared thermography provides abundant spatiotemporal degradation information,
facilitating non-contact condition monitoring. Reducing domain shift between simulated and …
facilitating non-contact condition monitoring. Reducing domain shift between simulated and …
A multi-branch deep neural network model for failure prognostics based on multimodal data
Non-numerical data, such as images and inspection records, contain information about
industrial system degradation, but they are rarely used for failure prognostic tasks given the …
industrial system degradation, but they are rarely used for failure prognostic tasks given the …
Image-based prognostics using deep learning approach
G Aydemir, K Paynabar - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
This article proposes two methods based on deep learning for estimating time-to-failure
(TTF) of an industrial system using its degradation image. This provides an effective tool for …
(TTF) of an industrial system using its degradation image. This provides an effective tool for …
Spatiotemporal denoising wavelet network for infrared thermography-based machine prognostics integrating ensemble uncertainty
Infrared thermography (IRT) is increasingly deployed in noncontact condition monitoring,
and further facilitates the machinery remaining useful life (RUL) prediction. For IRT-based …
and further facilitates the machinery remaining useful life (RUL) prediction. For IRT-based …
Artificial intelligence and statistics for quality technology: an introduction to the special issue
BM Colosimo, E del Castillo… - Journal of Quality …, 2021 - Taylor & Francis
In many applied and industrial settings, the use of Artificial Intelligence (AI) for quality
technology is gaining growing attention. AI refers to the broad set of techniques which …
technology is gaining growing attention. AI refers to the broad set of techniques which …
Sparse hierarchical parallel residual networks ensemble for infrared image stream-based remaining useful life prediction
Infrared thermography captures real-time degradation temperature information, facilitating
noncontact machine health monitoring. However, the inherent multiscale characteristics and …
noncontact machine health monitoring. However, the inherent multiscale characteristics and …
Robust tensor-on-tensor regression for multidimensional data modeling
In recent years, high-dimensional data, such as waveform signals and images have become
ubiquitous. This type of data is often represented by multiway arrays or tensors. Several …
ubiquitous. This type of data is often represented by multiway arrays or tensors. Several …