Toward cognitive predictive maintenance: A survey of graph-based approaches
Abstract Predictive Maintenance (PdM) has continually attracted interest from the
manufacturing community due to its significant potential in reducing unexpected machine …
manufacturing community due to its significant potential in reducing unexpected machine …
Residual-hypergraph convolution network: A model-based and data-driven integrated approach for fault diagnosis in complex equipment
Timely and accurate fault diagnosis plays a critical role in today's smart manufacturing
practices, saving invaluable time and expenditure on maintenance process. To date …
practices, saving invaluable time and expenditure on maintenance process. To date …
Semantic-consistent embedding for zero-shot fault diagnosis
In the traditional fault diagnosis task, it is difficult to collect training samples to exhaust all
fault classes. There are massive target faults that cannot be collected in advance, which may …
fault classes. There are massive target faults that cannot be collected in advance, which may …
Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders
Fault or anomaly detection is one of the key problems faced by the chemical process
industry for achieving safe and reliable operation. In this study, a novel methodology …
industry for achieving safe and reliable operation. In this study, a novel methodology …
[HTML][HTML] A graph embedding based fault detection framework for process systems with multi-variate time-series datasets
Due to the enormous potential of modelling, graph-based approaches have been used for
various applications in the process industries. In this study, we propose a fault detection …
various applications in the process industries. In this study, we propose a fault detection …
A systematic graph-based methodology for cognitive predictive maintenance of complex engineering equipment
L Xia - 2024 - theses.lib.polyu.edu.hk
Maintenance is a vital aspect of ensuring the reliability, availability, and safety of machinery
and systems. Traditional maintenance approaches, such as corrective and preventive …
and systems. Traditional maintenance approaches, such as corrective and preventive …
An explicit nonlinear mapping‐based locality constrained index for nonlinear statistical process monitoring
Y Chen, C Tong, X Shi - The Canadian Journal of Chemical …, 2023 - Wiley Online Library
Different from the mainstream nonlinear multivariate statistical process monitoring
approaches, which usually implement offline feature extraction for a given dataset sampled …
approaches, which usually implement offline feature extraction for a given dataset sampled …