Quality monitoring of complex manufacturing systems on the basis of model driven approach
Monitoring of complex processes faces several challenges mainly due to the lack of relevant
sensory information or insufficient elaborated decision-making strategies. These challenges …
sensory information or insufficient elaborated decision-making strategies. These challenges …
不同结构复杂度下结合集成学习的模型修正方法
林光伟， 张熠 - 工程力学, 2022 - engineeringmechanics.cn
模型不确定性不可避免地影响到数值模型分析精度和可靠性, 需要找到一种合适的方法,
根据实测数据对模型参数值进行修正. 该研究采用结合了过渡马尔科夫链蒙特卡罗(TMCMC) …
根据实测数据对模型参数值进行修正. 该研究采用结合了过渡马尔科夫链蒙特卡罗(TMCMC) …
Efficient model updating approaches integrating ensemble learning methods for different structural complexity
G LIN, Y ZHANG - 工程力学, 2022 - engineeringmechanics.cn
Abstract Model uncertainty inevitably affects the accuracy and reliability of numerical model-
based analysis. It is necessary to obtain an appropriate updating method which could …
based analysis. It is necessary to obtain an appropriate updating method which could …
Developing efficient model updating approaches for different structural complexity-an ensemble learning and uncertainty quantifications
Model uncertainty is a key factor that could influence the accuracy and reliability of
numerical model-based analysis. It is necessary to acquire an appropriate updating …
numerical model-based analysis. It is necessary to acquire an appropriate updating …
Bayesian in-situ parameter estimation of metallic plates using piezoelectric transducers
S Asadi, M Shamshirsaz, YA Vaghasloo - Smart Structures and Systems …, 2020 - dbpia.co.kr
Identification of structure parameters is crucial in Structural Health Monitoring (SHM) context
for activities such as model validation, damage assessment and signal processing of …
for activities such as model validation, damage assessment and signal processing of …