The advance of digital twin for predictive maintenance: The role …
2023年12月1日 · DT for PdM enables accurate equipment status recognition and proactive fault prediction, enhancing reliability. This shift from reactive to proactive services optimizes …
Real-world prototyping and evaluation of digital twins for …
2024年11月15日 · Digital Twins (DT) holds promise for effective Predictive Maintenance (PdM). Lack of real-world examples negatively impacts DT implementation. Demonstration of real …
预测性维护数字孪生的进展：机器学习的作用和功能,Journal of …
数字孪生（DT）的最新进展极大地促进了预测维护（PdM）的发展。DT for PdM 可实现准确的设备状态识别和主动故障预测，从而提高可靠性。这种从被动服务到主动服务的转变优化了维护 …
Unsupervised Learning and Digital Twin Applied to Predictive ...
1 天前 · PdM has greatly benefited from these advancements, utilizing real-time detection and prediction algorithms to monitor the state of physical systems . Among the key topics in …
机器学习在数字孪生预测性维护中的关键作用与挑战
数字孪生（Digital Twin，简称DT）技术的最新突破为预测性维护（Predictive Maintenance，简称PdM）带来了革命性的变革。 通过DT技术，设备状态的精准识别和故障的自主预测成为可 …
面向预测性维护的数字孪生技术进展：机器学习的作用和功能（上…
2024年7月5日 · 数字孪生（DT: Digital Twin）的最新进展极大地促进了预测维护（PdM:Predictive Maintenance）的发展。 对于PdM ，DT可以实现准确的设备状态识别和自主故障预测，从而 …
The advance of digital twin for predictive maintenance: The role …
The recent advance of digital twin (DT) has greatly facilitated the development of predictive maintenance (PdM). DT for PdM enables accurate equipment status recognition and proactive …
A semi-supervised method for digital twin-enabled predictive ...
2024年5月18日 · PdM is a complex data-driven strategy aiming to monitor the condition states and forecast the failure events of target assets, which is highly reliant on the massive real-time …
The advance of digital twin for predictive maintenance: The role …
2023年10月19日 · DT for PdM enables accurate equipment status recognition and proactive fault prediction, enhancing reliability. This shift from reactive to proactive services optimizes …
Systematic review of predictive maintenance and digital twin ...
2023年9月28日 · This study underscores the application of PdM and DT, exploring its transformative potential across domains demanding real-time monitoring. Specifically, it delves …