نمایش نتایج جستجو برای
کلمات کلیدی: Structural Health Monitoring
موارد یافت شده: 25
1 - Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distances (چکیده)2 - Structural Damage Detection in the Wooden Bridge Using the Fourier Decomposition Time Series Modeling and Machine Learning Methods (چکیده)
3 - Nonlinearity detection using new signal analysis methods for global health monitoring (چکیده)
4 - Robust decision-making by a new statistical feature extraction method reliable to noise and uncertainty (چکیده)
5 - A multi-stage machine learning methodology for health monitoring of largely unobserved structures under varying environmental conditions (چکیده)
6 - Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology (چکیده)
7 - Non-parametric empirical machine learning for short-term and long-term structural health monitoring (چکیده)
8 - Structural health monitoring using high-dimensional features from time series modeling by innovative hybrid distance-based methods (چکیده)
9 - Health Monitoring of Large-Scale Civil Structures: An Approach Based on Data Partitioning and Classical Multidimensional Scaling (چکیده)
10 - Structural Health Monitoring for Condition Assessment Using Efficient Supervised Learning Techniques (چکیده)
11 - Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks (چکیده)
12 - Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection (چکیده)
13 - Condition Assessment of Civil Structures for Structural Health Monitoring Using Supervised Learning Classification Methods (چکیده)
14 - Early damage detection under massive data via innovative hybrid methods: application to a large-scale cable-stayed bridge (چکیده)
15 - Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach (چکیده)
16 - A novel anomaly detection method based on adaptive Mahalanobis-squared distance and one-class kNN rule for structural health monitoring under environmental effects (چکیده)
17 - Damage localization under ambient excitations and non-stationary vibration signals by a new hybrid algorithm for feature extraction and multivariate distance correlation methods (چکیده)
18 - Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods (چکیده)
19 - Structural health monitoring by a new hybrid feature extraction and dynamic time warping methods under ambient vibration and nonstationary signals (چکیده)
20 - An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification (چکیده)
21 - An iterative order determination method for time-series modeling in structural health monitoring (چکیده)
22 - Application of Hopfield neural network to structural health monitoring (چکیده)
23 - new application of random decerement technique (چکیده)
24 - A New Similarity Measure Method based on Statistical Pattern Recognition for Structural Health Monitoring (چکیده)
25 - New Signal Processing Technique on Multiple Piezoelectric Sensor/Actuator for Structural Health Monitoring of Steel Structure Joints (چکیده)
