System and method for failure curve analytics

A system comprising:

• at least one hardware processor;
• and
• a non-transitory computer-readable medium storing executable instructions that, when executed, cause the at least one processor to perform operations comprising:
• accessing a failure curve model for an equipment model, the failure curve model being configured to estimate corresponding lifetime failure data for the equipment model for each one of a plurality of different failure modes, the plurality of different failure modes corresponding to different specific manners in which the equipment model is capable of failing, the lifetime failure data indicating a corresponding probability of the equipment model failing in the corresponding specific manner of the corresponding failure mode at any specific point in time during a lifetime of a physical instance of the equipment model;
• generating first analytical data for a first failure mode of the plurality of failure modes using the failure curve model based on the first failure mode, the first analytical data indicating at least a portion of the lifetime failure data for the equipment model corresponding to the first failure mode;
• and
• causing a visualization of the first analytical data to be displayed on a computing device.

A non-transitory machine-readable storage medium, tangibly embodying a set of instructions that, when executed by at least one hardware processor, causes the at least one processor to perform operations comprising:

• obtaining failure event data for an equipment model, the failure event data identifying a plurality of events in which one or more physical instances of the equipment model suffered a functional failure, the failure event data comprising corresponding failure mode data and corresponding time data for each event in the plurality of events, the failure mode data indicating a specific way in which the one or more physical instances of the equipment model failed for the corresponding event, and the time data indicating a time at which the event occurred;
• training a failure curve model for the equipment model using the failure event data for the equipment model, the failure curve model being configured to estimate corresponding lifetime failure data for the equipment model for each one of a plurality of different failure modes, the plurality of different failure modes corresponding to different specific ways in which the equipment model is capable of failing, the lifetime failure data indicating a corresponding probability of the equipment model failing in the corresponding specific way of the corresponding failure mode at any specific point in time during a lifetime of a physical instance of the equipment model;
• generating first analytical data for a first failure mode of the plurality of failure modes using the failure curve model based on the first failure mode, the first analytical data indicating at least a portion of the lifetime failure data for the equipment model corresponding to the first failure mode;
• and
• causing a visualization of the first analytical data to be displayed on a computing device.