I have a data set of events for each device(sensor)
2019-08-24 Event_1 2019-08-25 Event_2 2019-08-26 Event_3 2019-08-27 Fail 2019-08-28 Event_2 2019-08-29 Event_3
I am recording sequential events of a device. Also I have other factors such as temperature, humidity, data related to manufacturing of each device and how user data (how users are using it). I want to build a model that can take all these thing into account and predict when the next failure will happen. I don't know how to combine this sequential events with other factors. What kind of approach or modelling should I use ?