Modeling and simulation of photovoltaic systems, further than aiding on the project design phase, can be used to emulate the system performance in real time, therefore helping to identify any malfunction that may occur.
Cars may not have a ground crew waiting for them at every destination, but they should have robust diagnostic tools running at all times with the ability to identify any potential malfunctions.
Results showed that the method provides more alarm variable combinations that can identify possible malfunctions than a previously used method.
In this paper, we are concerned with an energy-aware testing approach for identifying node malfunctions in a WSN.
Also, an analysis like the one carried out enables supervisor agents, as is the case with the OpenStack Foundation in our case study, to identify possible malfunctions in the community.
In addition, prior to the analysis, the data were analyzed to identify detector malfunctions (e.g., missing data or abnormal data) or extraordinary events (e.g., congestion time and occupancy were order-of-magnitude larger than average).
Compared to the split screen condition in which participants have to shift their visual focus frequently, troubleshooting performance of correctly identified malfunctioning mechanical devices was higher in the vexing image mode.
Jacqui Morris The cause of the tragic fire at the Philadelphia Zoo on Christmas Eve 1995, the worst zoo fire in U.S. history, was identified as a malfunction in an electrical heat trace cable used to prevent pipes from freezing.
In this paper a diagnostic system is proposed for externally fired gas turbines (EFGT), using the thermoeconomic method in conjunction with artificial neural networks to identify malfunctioning components (intrinsic malfunctions) and their fuel impact.
The final goal is to create a common basis of work for people interested in applying thermoeconomics to identify malfunctions and to evaluate their effects on the overall plant performance.
Several methods have been developed to solve the problem of thermal system thermodynamic diagnosis, all of which are designed to identify components exhibiting malfunctions and their effect on cycle power output and efficiency.
