US 12,480,675 B2
Air filtration monitoring system with learning features
Chad M. Goltzman, Bloomington, MN (US); Charles E. Kotasek, Eden Prairie, MN (US); Peter P. Vitko, St. Paul, MN (US); Xiaobin Wang, Chanhassen, MN (US); Matthew J. Anderson, Minneapolis, MN (US); John H. Chastain, Jr., Eden Prairie, MN (US); and Jacob C. Savstrom, Mound, MN (US)
Assigned to Donaldson Company, Inc., Bloomington, MN (US)
Filed by Donaldson Company, Inc., Bloomington, MN (US)
Filed on Mar. 15, 2022, as Appl. No. 17/695,555.
Claims priority of provisional application 63/161,176, filed on Mar. 15, 2021.
Prior Publication US 2022/0290887 A1, Sep. 15, 2022
Int. Cl. G06F 11/30 (2006.01); F24F 11/39 (2018.01); F24F 11/84 (2018.01)
CPC F24F 11/39 (2018.01) [F24F 11/84 (2018.01)] 15 Claims
OG exemplary drawing
 
1. A monitoring system for an air filtration system comprising:
a control circuit; and
a pressure sensor, wherein the pressure sensor is in electronic communication with the control circuit;
wherein the monitoring system is configured to
store data reflecting signals of the pressure sensor from a first time period, wherein the stored data representing the first time period comprises a first series of valve pulses;
extract a first signal feature from the stored data representing the first time period;
store data reflecting signals of the pressure sensor from a second time period after the first time period, wherein the data from the pressure sensor obtained after the first time period comprises a second series of valve pulses;
extract a second signal feature from the stored data representing the second time period; and
compare the second signal feature with the first signal feature to identify an abnormal valve event.