Koninklijke Philips Corporation N.v.

Milosh Stolikj

Qi Gao

Mauro Barbieri

Johannes Henricus Maria Korst

Milan Petkovic

Eugene Alekseyevich Ivanov

Jurgen Jan Rusch

Marc André Peters

Bart Albertus Gerardus Van Der Velden

Anastasiia Grishina

A recommendation method () includes: querying a knowledge base () of maintenance cases using the text query to retrieve a ranked list () of maintenance cases relating to a text query; performing topic modeling () on the maintenance cases of the ranked list of maintenance cases to group the maintenance cases into N topics; for each topic, ranking the replaced part identifiers associated to the maintenance cases grouped into that topic to generate a ranked replaced part identifiers list () for that topic; displaying summarization () of the N topics on the display of the user interface and receiving a selection of a selected topic of the N topics via the user interface device; and displaying a list () of recommended parts for replacement comprising at least a top portion of the ranked replaced part identifiers list for the selected topic on the display of the user interface device.

System and method for improved spare part search for maintenance services using topic modelling

A method () of automated identification of one or more malfunction areas of a set (S) of malfunction areas for a service case in which a medical device () is serviced includes: 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 () text descriptions of parts ordered for the service case and/or () a text description of the service case; and displaying a list () of one or more most 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.

System and method for automated or semi-automated identification of malfunction area(s) for maintenance cases

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EINDHOVEN, Netherlands

Milosh Stolikj