Abstract: A method, non-transitory computer readable medium, and apparatus for predicting a service call for digital printing equipment from a customer are disclosed. For example, the method detects a triggering event based upon a number of detections of an event on a digital printing equipment exceeding a threshold within a predefined time period, wherein the number of detected events on the digital printing equipment exceeding the threshold within the predefined time period is indicative of an impending soft failure, calculates a probability that the customer will place the service call due to the impending soft failure within a second predefined period of time based on a fusion of a hazard model of the digital printing equipment, a customer behavior model and the number of detections of the event in response to the triggering event being detected and determines an action based upon the probability using a cost based utility function.

Abstract: A remote diagnostic system and method based on device data classification. Device diagnostic data with respect to a device can be acquired and a conditional probability look up table can be constructed for each fault code associated with the device diagnostic data by a classification module. A score function can then be created by summing the conditional probabilities and an occurrence of the fault code can be mapped to a service call category with a numerically highest score function. The fault occurrence data in association with a number of time stamps and device identifiers can be stored in a data warehouse. The occurrence of fault code can be matched with respect to a solution set which can be automatically dispatched to a customer via a communications link.

Abstract: A remote diagnostic system and method based on device data classification. Device diagnostic data with respect to a device can be acquired and a conditional probability look up table can be constructed for each fault code associated with the device diagnostic data by a classification module. A score function can then be created by summing the conditional probabilities and an occurrence of the fault code can be mapped to a service call category with a numerically highest score function. The fault occurrence data in association with a number of time stamps and device identifiers can be stored in a data warehouse. The occurrence of fault code can be matched with respect to a solution set which can be automatically dispatched to a customer via a communications link.