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More importantly, a run-time fault detection and diagnosis for abnormal sensor readings is designed and integrated into the data acquisition system.
The track filter is based on a two-stage paradigm of abnormal sensors detection and heuristic state estimation fusion.
At first, the abnormal sensors are detected by Chauvenet criterion.
Increased sensor reading triggers the threshold settings and causes a false detection in phase transition.
An abnormal readings detection and identification methods were incorporated based on the combinational sparsity reconstruction [24].
In case of HexDD, upon the detection of a new event, the sensor node sends the sensor reading towards one of the border lines and then to the central region.
Hence, based on the outcome of our simulations, we consider trust models as overly sensitive intrusion detection systems (IDS) for penalizing sensors without taking into account the root cause of abnormal sensor reports.
We consider trust models as overly sensitive intrusion detection systems (IDS) for penalizing sensors without taking into account the root cause of the abnormal sensor reports.
MR. DITTEMORE: -- The easy answer is the sensor reading.
Each point represents a sensor reading; circles indicate groups of sensors, that is, sensor profiles.
Behavioural attributes are attributes such as the sensor reading itself.
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