Software For Predictive Analytics
SAPHI have been delivering software for predictive analytics to companies around the world. These powerful algorithms for predictive analytics have been proven to detect failures up to six days in advance, significantly reducing overall downtime of assets.
What Was The Problem?
As with most companies that rely on machinery, BHP was looking for ways to reduce the overall downtime of their assets. They noticed that vehicles and machinery would malfunction at irregular periods, sometimes immediately after a scheduled service. To address this, BHP began exploring the use of powerful software for predictive analytics.
What Was The Solution?
BHP partnered with SAPHI, Reliability Extranet and Sorba to integrate powerful algorithms for predictive analytics that both technical and non-technical people could operate with ease. The system analysed CAN Bus data extracted via our custom CAN Bus Sniffer System and is able to detect failures up to six days in advance.
What Were The Outcomes?
The outcomes as a result of this innovative software for predictive analytics included:
- Predicting failures up to 6 days in advance
- Significant reduction in downtime
- Significant financial and time savings
- Reduced maintenance cost
- Improved data quality for decision making
What Skills Did SAPHI Use To Implement The Solution?
The tech stack and experience required for the AI imaging system included a broad range of skills, including:
- Network configuration
- Electrical device & wiring specification
- Hardware assembly
- Software testing & configuration
What Support Did SAPHI Offer After Completion?
SAPHI provides a range of customisable support plans and packages to ensure your systems continue evolving and adapting with the times. Our team will develop a support plan that suits your needs, from maintenance to upgrades.
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