In model-based fault detection, the anticipated behavior is described using mathematical models , the measured system variables are compared with their model estimates.
We have adapted two of these solutions, one from model-based fault detection and one from outlier detection to protect a consensus-based network intrusion detection system.
et al., "An approach to model-based fault detection
in industrial measurement systems with application to engine test benches", Measurement Science and Technology 17, 2006, doi: 10.1088/0957-0233/17/7/020
Residual generation and residual evaluation are essential for model-based fault detection. Fault detection can be achieved if residuals are obtained.
Compared with the traditional model-based fault detection method, prior knowledge of model mechanisms is not needed and only the parameterized matrices related to residuals rather than the system models need to be identified.
(30) Clever, S., "Model-based fault detection
and diagnosis for a common rail engine," Fortschr.-Ber.
A model-based fault detection
method processes these data and generates residual values that can be further processed to identify faults.
Comparison of chiller models for use in model-based fault detection
. Energy Systems Laboratory.
Online model-based fault detection
and diagnosis strategy for VAV air handling units.
A combination of model-based fault detection and diagnosis and the support vector machine methods for investigating the characteristics of three major HVAC system faults was proposed (Liang and Du, 2007).
Model-based fault detection and diagnosis of HVAC systems using support vector machine method.
This change detection scheme is also known as model-based fault detection
(Isermann 1997) or analytical redundancy (Clark et al.