The phrase "approaches for fault" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to methods or strategies for addressing or identifying faults, but as it stands, it lacks clarity.
Example: "We need to develop better approaches for fault detection in our system to minimize downtime."
Alternatives: "methods for error" or "strategies for issues".
The advantages and drawbacks of these two approaches for fault detection are discussed.
In recent years there has been increased interest in the use of active approaches for fault detection.
The existing approaches for fault detection and diagnosis (FDD) and reconfigurable control are considered with emphasis on the reconfigurable/restructurable controller design techniques.
Two different approaches for fault detection, the geometric and the detection filter based methods, are compared in the paper from practical aspects, using the linear parameter-varying (LPV) framework.
As a manufacturing system can be assimilated to a host organism, while process anomalies (e.g. faults, errors and failures) can be considered as disease causing elements, biological immunity is particularly inspiring approaches for fault detection, diagnosis and recovery (FDDR).
This section focuses on the application of computational intelligence approaches for fault prediction.
Two kinds of modeling approaches for faults are compared: a modeling technique of faults based on stratum recovery and a modeling technique of faults based on interpolation in subareas.
This paper discusses which design issues have been addressed by existing diversity-based approaches for fault-tolerant composite services.
The review investigates how existing approaches for fault-tolerant composite services address design diversity issues and also specific issues related to SOA.
Although existing solutions have made significant contributions to the development of fault-tolerant SOAs, there is a lack of approaches for fault-tolerant service composition that support strategies with diverse quality requirements and encompassing sophisticated context-aware capabilities.
This paper develops a new approach for fault detection which involves soft sensors for process monitoring.
