They also mentioned that if the target class (faulty/non-faulty) is in the minority, accuracy is a poor measure as for example, a classifier could score 90%% accuracy on a dataset with 10%% faulty data, even if it predicts that all defective modules are defect free.
There's either an intermittent electrical problem (a corroded ground wire, damaged signal wire, etc) or, more likely in this case, a defective control module.
For now Sun is racing to deliver a new "mirrored" cache to replace defective modules in the field, although only where needed.
One of the hallmarks of human-designed systems appears to be their modularity [ 6]: systems designed in a modular fashion are more robust to component failure, can be quickly repaired by switching out defective modules, and their designs are easier to understand for a human engineer.
First Solar, one of the United States' biggest manufacturers, has set aside $271.2 million to cover the costs of replacing defective modules it made in 2008 and 2009.
Large software projects are subject to quality risks of having defective modules that will cause failures during the software execution.
"The one thing I can tell you is that Yingli does not cut corners," said Brian Grenko, vice president for operations at Yingli Americas, adding that only 15 defective modules had been returned to the company out of 2.8 million shipped to the United States since 2009.
Although these experimental robots work only in the limited laboratory environment, Lipson suggests that the idea of making self-replicating robots out of self-contained modules could be used to build working robots that could self-repair by replacing defective modules.
The agency says that the fire draws "into question whether or not the procedure can effectively identify a defective Generator Control Module".
Thus, TDI pathogeny may result from the interplay of several signaling pathways and from a defective combination of signaling modules.
Software defect data in nature have a class imbalance because of the skewed distribution of defective and non-defective modules, so that conventional error functions of the neural network produce unbalanced FPR and FNR results.
