Dan Li (李丹)
Title
Cited by
Cited by
Year
A data-driven strategy for detection and diagnosis of building chiller faults using linear discriminant analysis
D Li, G Hu, CJ Spanos
Energy and Buildings 128, 519-529, 2016
582016
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
D Li, D Chen, L Shi, B Jin, J Goh, SK Ng
arXiv preprint arXiv:1901.04997, 2019
562019
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
D Li, D Chen, J Goh, S Ng
arXiv preprint arXiv:1809.04758, 2018
552018
Fault detection and diagnosis for building cooling system with a tree-structured learning method
D Li, Y Zhou, G Hu, CJ Spanos
Energy and Buildings 127, 540-551, 2016
472016
Design Automation for Smart Building Systems
R Jia, B Jin, M Jin, Y Zhou, IC Konstantakopoulos, H Zou, J Kim, D Li, ...
Proceedings of the IEEE 106 (9), 1680-1699, 2018
332018
Optimal sensor configuration and feature selection for AHU fault detection and diagnosis
D Li, Y Zhou, G Hu, CJ Spanos
IEEE Transactions on Industrial Informatics 13 (3), 1369-1380, 2016
232016
Detecting and diagnosing incipient building faults using uncertainty information from deep neural networks
B Jin, D Li, S Srinivasan, SK Ng, K Poolla, A Sangiovanni-Vincentelli
2019 IEEE International Conference on Prognostics and Health Management …, 2019
112019
Learning optimization friendly comfort model for hvac model predictive control
Y Zhou, D Li, CJ Spanos
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 430-439, 2015
72015
A one-class support vector machine calibration method for time series change point detection
B Jin, Y Chen, D Li, K Poolla, A Sangiovanni-Vincentelli
2019 IEEE International Conference on Prognostics and Health Management …, 2019
52019
Multivariate anomaly detection for time series data with generative adversarial networks
D Li, D Chen, L Shi, B Jin, J Goh, SKN Mad-gan
arXiv preprint arXiv:1901.04997, 2019
52019
Fusing system configuration information for building cooling plant fault detection and severity level identification
D Li, Y Zhou, G Hu, CJ Spanos
2016 IEEE International Conference on Automation Science and Engineering …, 2016
52016
Optimal training and efficient model selection for parameterized large margin learning
Y Zhou, JY Baek, D Li, CJ Spanos
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 52-64, 2016
52016
Identifying Unseen Faults for Smart Buildings by Incorporating Expert Knowledge With Data
D Li, Y Zhou, G Hu, CJ Spanos
IEEE Transactions on Automation Science and Engineering 16 (3), 1412-1425, 2018
42018
Handling Incomplete Sensor Measurements in Fault Detection and Diagnosis for Building HVAC Systems
D Li, Y Zhou, G Hu, CJ Spanos
IEEE Transactions on Automation Science and Engineering, 2019
22019
Fault detection and diagnosis for chillers and AHUs of building ACMV systems
D Li
22017
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Articles 1–15