Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations

By Francisco Serdio, Edwin David Lughofer, Kurt Pichler, Thomas Buchegger, Markus Pichler, Hajrudin Efendic. 2014

102 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alexander Lavin
2. Subutai Ahmad
3. Chau Yuen
4. Yuren Zhou
5. Meng Zhang
6. Billy Pik Lik Lau
7. U-Xuan Tan
8. Marakkalage Sumudu Hasala

In Control and Systems Engineering

1. Chau Yuen
2. Yuren Zhou
3. Meng Zhang
4. Billy Pik Lik Lau
5. U-Xuan Tan
6. Marakkalage Sumudu Hasala
7. Naveed Ul L. Hassan

In Signal Processing

1. Alexander Lavin
2. Chau Yuen
3. Subutai Ahmad
4. Yuren Zhou
5. Meng Zhang
6. Billy Pik Lik Lau
7. U-Xuan Tan
8. Marakkalage Sumudu Hasala

Citations in the corpus

• A survey of data fusion in smart city applications (2019, background): “Such architecture can be found in works such as [96], [99], [101].”
• Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark (2015, methodology): “There are, of course, many algorithms we have not directly tested [2, 9-14].”