Patent ID: 11955673
Assignee: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
Field: Electrical machinery, apparatus, energy (Electrical engineering)
Classification: CPC H  Y | IPC H

Claim 16:
17. A system for monitoring degradation of a fuel cell membrane in a proton exchange membrane fuel cell, the system comprising:
a first microsensor disposed inline with an exhaust of a cathode of the proton exchange membrane fuel cell, the first microsensor configured for sensing a first analyte that is fluorine;
a second microsensor disposed inline with an exhaust of an anode of the proton exchange membrane fuel cell, the second microsensor configured for sensing a second analyte that is fluorine;
a processor in operable communication with the first microsensor and the second microsensor; and
a machine-readable medium in operable communication with the processor, the first microsensor, and the second microsensor, and having instructions stored thereon that, when executed by the processor, perform the following steps:
monitoring first sensing data of the first microsensor, the first sensing data comprising a level of the first analyte present in the exhaust of the cathode;
monitoring second sensing data of the second microsensor, the second sensing data comprising a level of the second analyte present in the exhaust of the anode; and
performing a deep learning algorithm on the first sensing data and the second sensing data to enable predictive maintenance on the fuel cell membrane of the proton exchange membrane fuel cell

the first microsensor being an ion-sensitive field effect transistor comprising a first fluoride-sensitive membrane as a thin layer of insulator in the first microsensor,
the second microsensor being an ion-sensitive field effect transistor comprising a second fluoride-sensitive membrane as a thin layer of insulator in the second microsensor,
the first fluoride-sensitive membrane comprising at least one of LaF3 and CaF2,
the second fluoride-sensitive membrane comprising at least one of LaF3 and CaF2, and
the deep learning algorithm comprising a long-short-term memory artificial neural network.