Digital Twin for maintenance: A literature review
Abstract In recent years, Digital Twins (DT) have been implemented in different industrial
sectors, in several applications areas such as design, production, manufacturing, and …
sectors, in several applications areas such as design, production, manufacturing, and …
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
Recent advances in prognostics and health management for advanced manufacturing paradigms
Manufacturing paradigms have played their important roles in modern industry. In recent 20
years, production systems of advanced manufacturing paradigms (eg mass customization …
years, production systems of advanced manufacturing paradigms (eg mass customization …
A generalized remaining useful life prediction method for complex systems based on composite health indicator
As one of the key techniques in Prognostics and Health Management (PHM), accurate
Remaining Useful Life (RUL) prediction can effectively reduce the number of downtime …
Remaining Useful Life (RUL) prediction can effectively reduce the number of downtime …
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 …
Construction theory for a building intelligent operation and maintenance system based on digital twins and machine learning
Y Zhao, N Wang, Z Liu, E Mu - Buildings, 2022 - mdpi.com
The operation and maintenance (O&M) of buildings plays an important role in ensuring that
the buildings work normally, as well as reducing the damage caused by functional errors …
the buildings work normally, as well as reducing the damage caused by functional errors …
A deep reinforcement learning approach for real-time sensor-driven decision making and predictive analytics
The increased complexity of sensor-intensive systems with expensive subsystems and
costly repairs and failures calls for efficient real-time control and decision making policies …
costly repairs and failures calls for efficient real-time control and decision making policies …
[HTML][HTML] Modernizing risk assessment: A systematic integration of PRA and PHM techniques
Recent advances in sensing and computing technologies have resulted in an abundance of
data in various formats and more processing power for using this data. Consequently, there …
data in various formats and more processing power for using this data. Consequently, there …
Multistream sensor fusion-based prognostics model for systems with single failure modes
Advances in sensor technology have facilitated the capability of monitoring the degradation
of complex engineering systems through the analysis of multistream degradation signals …
of complex engineering systems through the analysis of multistream degradation signals …
Statistical degradation modeling and prognostics of multiple sensor signals via data fusion: A composite health index approach
C Song, K Liu - IISE Transactions, 2018 - Taylor & Francis
Nowadays multiple sensors are widely used to simultaneously monitor the degradation
status of a unit. Because those sensor signals are often correlated and measure different …
status of a unit. Because those sensor signals are often correlated and measure different …