نمایش نتایج جستجو برای
نام مجله: Structural Health Monitoring
موارد یافت شده: 9
1 - Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distances (چکیده)2 - Robust decision-making by a new statistical feature extraction method reliable to noise and uncertainty (چکیده)
3 - Non-parametric empirical machine learning for short-term and long-term structural health monitoring (چکیده)
4 - Structural health monitoring using high-dimensional features from time series modeling by innovative hybrid distance-based methods (چکیده)
5 - Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks (چکیده)
6 - Damage localization under ambient excitations and non-stationary vibration signals by a new hybrid algorithm for feature extraction and multivariate distance correlation methods (چکیده)
7 - Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods (چکیده)
8 - An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification (چکیده)
9 - Damage detection by updating structural models based on linear objective functions (چکیده)
