It’s been very hot here in Northern Italy: electricity provision has struggled to keep up and we’ve had frequent power outages in the area, even within our apartment building. A bit inconvenient? Don’t get me started. I feel like my home appliances have turned against me, taking me back to the Stone Age.
This begs the question – why do we continue to have this problem? What’s the cause? Is it the grid? Is it excessive appliance usage? Could this have been prevented? From my perspective as a data analyst, I would wholeheartedly say – “absolutely, a resounding yes! This can be prevented.”
Let me explain.
First: based on similar failures in the past, create predictive models that assess the likelihood of appliance malfunction (… and I hope this doesn’t jinx things!), such as dishwashers, electric curtains, washing machines, refrigerator, dryers, and – of course, air conditioning. What would these models do? Well, they would consider operating characteristics of the different machines, isolate key critical factors indicative of past failures. Then these factors can be monitored to predict the likelihood of future failures - ahead of time - and generate alerts for repairs, usage adjustments, and the like. But that means a lot of individual model, so an automated method to create such predictive models, like SAS® Factory Miner would be the ideal solution, building a “factory of models”.