US 12,259,801 B2
System and method for automated or semi-automated identification of malfunction area(s) for maintenance cases
Milosh Stolikj, Eindhoven (NL); Qi Gao, Eindhoven (NL); Bart Albertus Gerardus Van Der Velden, Eindhoven (NL); Jurgen Jan Rusch, Eindhoven (NL); Eugene Alekseyevich Ivanov, Eindhoven (NL); Mauro Barbieri, Eindhoven (NL); Johannes Henricus Maria Korst, Eindhoven (NL); and Marc André Peters, Veldhoven (NL)
Assigned to KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Appl. No. 18/036,179
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Nov. 10, 2021, PCT No. PCT/EP2021/081178
§ 371(c)(1), (2) Date May 10, 2023,
PCT Pub. No. WO2022/101234, PCT Pub. Date May 19, 2022.
Claims priority of provisional application 63/113,208, filed on Nov. 13, 2020.
Prior Publication US 2023/0418721 A1, Dec. 28, 2023
Int. Cl. G06F 11/32 (2006.01); G06F 11/22 (2006.01); G16H 40/40 (2018.01)
CPC G06F 11/321 (2013.01) [G06F 11/2268 (2013.01); G16H 40/40 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer readable medium storing instructions executable by at least one electronic processor to perform a method of automated identification of one or more malfunction areas of a set of malfunction areas for a service case in which a medical device is serviced, the method comprising:
providing a parts ordering user interface for ordering parts for the service case, the parts ordering user interface providing text descriptions of parts ordered for the service case;
providing a service report entry user interface for receiving a text description of the service case including at least a malfunction report for the medical device and repair notes for the service case;
generating an output probability vector of probabilities for the set of malfunction areas of the medical device by operations including applying at least one classifier to at least one of (1) the text descriptions of the parts ordered for the service case and/or (2) the text description of the service case; and
displaying a list of one or more probable malfunction areas for the service case wherein the one or more most probable malfunction areas are the one or more most malfunction areas of the set of malfunction areas having highest probability in the output probability vector.