Predictive Analytics using Machine Learning Algorithm
Use case - Hard Drive Failure Prediction
Problem:-
- A hard drive failure occurs when a hard disk drive malfunctions and the stored information cannot be accessed with a properly configured computer.
- A hard disk failure may occur in the course of normal operation, or due to an external factor such as exposure to fire or water or high magnetic fields, or suffering a sharp impact or environmental contamination, which can lead to a head crash.
- Today there is much collected data regarding cases of various reason for hard drive failure and it can be utilized to predict chances of hard drive failure early.
Benefits:-
- The hard drive manufacturing company and user get major benefit of ML based hard drive failure prediction.
- The ML based hard drive failure prediction could help manufacturing company to predict failure with high accuracy That is, the predicted result can help manufacturing company to objectively diagnose, and company can provide a personalized warning and a lifestyle correction message.
- Hard drive manufacturing company can provide the appropriate treatment to hard drive early.
S.M.A.R.T:-
Predicting hard drive failure based on S.M.A.R.T. statistics reported by each drive. S.M.A.R.T. (Self-Monitoring, Analysis and Reporting Technology;
often written as SMART) is a monitoring system included in hard disk drives (HDDs), solid-state drives (SSDs),[1] and eMMC drives.
Its primary function is to detect and report various indicators of drive reliability with the intent of anticipating imminent hardware failures.
Sample Dataset - Metadata:-
ML –Hard Drive Failure Prediction -Process:-
Cloud Deployment:-
Result Verification – Original HDD Failure vs Predicted HDD Failure:-
