Sentence examples for categories of faults from inspiring English sources
The behavior of interrupt inputs, pending behavior and several categories of faults are also reviewed.
The four categories of faults are normal, reverse, thrust, and strike-slip.
Regarding fault tolerance, the architect has to consider, for example: the availability of variants, the best fault tolerance technique to be used in a certain context, how the system should fail and scenarios involving error detection and handling (failure modes), the categories of faults to be tolerated (fault latency), assumptions about the environment and components (fault assumptions), etc.
(1) Recent developments and applications of computational intelligence to condition monitoring and fault diagnosis are reviewed, following the categories of fault diagnosis, prognosis, and optimal sensor placement.
Extensive simulation tests are conducted to explore the effectiveness of the proposed FTC performances in response to different categories of steam turbine fault scenarios.
Category F3 describes six types of faults related to advice definition and implementation.
The results show that the support vector machine identifies the fault categories of rolling element bearing more accurately and has a better diagnosis performance.
The analysis and comparison results indicate that the proposed method is very effective in distinguishing the fault categories of rolling bearings and can get a higher identifying rate than the contrast methods.
In particular, the operators simulate instances of faults within the first three categories (the groups are named G1, G2 and G3, each one simulating faults of categories F1, F2 and F3, respectively).
Overall, the taxonomy has shown to be complete in terms of fault categories.
The major categories of diagnostic errors include: (1) no-fault errors the disease is present but not detected; (2) system errors a diagnosis is delayed or missed because of the imperfection in the health care system; and (3) cognitive errors a misdiagnosis from faulty data collection or interpretation, flawed reasoning, or incomplete knowledge.
