Interface Data Modeling to Detect and Diagnose Intersystem Faults for Designing and Integrating System of Systems

Table 2

Summary of related works.

Approach	Previous work	Motivation	Method	Application
Model-based approach	Cai et al. [17]	To eliminate system faults immediately once they occur in complex systems	Structure and parameter models using object-oriented Bayesian networks are proposed.	Subsea production system
	Lamperti and Zhao [18]	To diagnose component faults in complex discrete-event systems during the system evolution	A finite-state machine model is built for fault diagnosis.	Military system
	Poon et al. [19]	To resolve faults in components and sensors in switching power converters	A model-based state estimator is proposed based on a library of fault signatures for possible component and sensor faults in all 4 converters.	Switching power converter system
Signal-based approach	Loza et al. [20]	To reconstruct signal faults as early as possible	A nonhomogeneous high-order sliding mode-based observation approach is proposed.	Aircraft transport system
	Do and Chong [21]	To detect and diagnose vibration signals of the inductor motor	The scale invariant feature transform algorithm is proposed to generate the faulty symptoms.	Three-phase AC motor
	Pan et al. [22]	To analyze acoustical signal for monitoring normal operation of gearbox	The complex-valued fixed point algorithm was used for frequency domain signal.	Power transfer system
Interoperability testing	Vijayaraghavan et al. [49]	To provide a common means for communication between devices	A data exchange standard was proposed.	Manufacturing system
	Shin et al. [38]	To analyze the operating situations of the systems at the system-integration phase	A message-description language was used to convert the raw interface data into the interpreted data format.	Ship system