The invention is suitable for the field of health detection and life prediction of the whole life cycle of an MEMS
capacitor film, and provides an MEMS
capacitor film vacuum gauge diaphragm life
prediction system based on
deep learning. The device comprises a molecular pump set, a first vacuum valve, a second vacuum valve, a first
cold cathode ionization vacuum gauge, a second
cold cathode ionization vacuum gauge, a first
vacuum chamber, a second
vacuum chamber, a third
vacuum chamber, a first LCR digital bridge, a second LCR digital bridge, a first MEMS diaphragm chamber, a second MEMS diaphragm chamber, a
temperature control box, an upper computer, a controller and an
electromagnetic valve. According to the method, more reliable life prediction can be realized, and better robustness is achieved. According to the method,
test equipment does not need to be developed, the method can be realized through conventional equipment and methods, the evaluation accuracy is high, the efficiency is high, and the operation is convenient and simple.