Systems and methods for detecting small pattern changes in sensed data

摘要

In one embodiment, a system and a method involve receiving a raw signal collected by a sensor that pertains to a temporal trend, creating a reference signal of a known amplitude and frequency, adding the reference signal to the raw signal to form a modulated signal, decomposing the modulated signal to obtain a decomposed signal, and conducting time-frequency analysis on the decomposed signal to detect abnormal patterns.

主权项

1. A method for detecting an environmental condition from sensed data, the method comprising:
monitoring a structure with a sensor to collect a raw signal that is generated by the structure and an environment in which the structure, the raw signal pertaining to a temporal trend of the structure and comprising an obfuscated event signal associated with a first environmental condition effecting the structure that has a small impact on the raw signal and a dominate sensor masking signal associated with a second environmental condition which obfuscates the first environmental condition; modulating the raw signal with a reference signal to the raw signal to form a modulated signal that comprises the obfuscated event signal, the reference signal being a signal with a user-defined frequency; decomposing the modulated signal to obtain a decomposed signal; conducting time-frequency analysis on the decomposed signal to detect the obfuscated event signal and, thereby, the first environmental condition effecting the structure; and interpreting the obfuscated event signal to identify the nature of the first environmental condition effecting the structure.