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How long does it take smoke detectors to stop chirping? 

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It was determined that FDS can predict smoke detector activation when used in conjunction with smoke detector lag correlations that correct for the time delay associated with smoke having to penetrate the detector housing.
This paper demonstrates the usability of gas sensor technologies for fire detection to enhance the performance of conventional smoke detectors.
The results of these experiments show that the smoke detectors, especially the ionization detector, are sensitive to cooking fumes and nuisance alarms are easy to happen.
Alarm algorithms utilizing ionization detector smoke measurements proved to be more effective than measurements from photoelectric detectors.
Chirping should also produce enhanced efficiency in the high-power trapped-particle regime.
Chirping should produce enhanced efficiency in the high-power trapped-particle regime.
However, the learning of smoke representation in the detectors will be restricted by the appearance gap between real and synthetic smoke samples, which will cause a significant performance drop.
The current alarm algorithm resulted in better overall performance than the commercial smoke detectors, by providing both improved nuisance source immunity with generally equivalent or faster response times.