Sensor faults: Detection methods and prevalence in real-world datasets

By Abhishek B. Sharma, Leana Golubchik, Ramesh Govindan. TOSN, 2010

401 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/0d83def5e8da5ec7dd3098f742da9767f3c5d408

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. Min Chen
2. Giancarlo Fortino
3. Antonio Liotta

In Signal Processing

1. Antonio Liotta

Citations in the corpus

• Smart Anomaly Detection in Sensor Systems (2020, background): “1, for sensor systems we can also encounter the following categorization which is based on the faults noticed in real deployment [21], [22], [23]:”