A worn slurry pump impeller, removed and standing on the plant floor

Pump health management built to cut maintenance costs

Reduce unnecessary inspections by setting intervals from how each pump wears, with Predict's engineers helping you plan shutdowns around the pumps that are actually worn.

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30-minute live demo

Most pump strategies are set once, then left alone

Most sites already collect inspection, maintenance and process data on every pump, but little of it feeds back into when each pump is inspected.

How pump strategies are run today, and what changes with Predict
TodayWith
Pumps are inspected on a fixed interval whatever their condition, and many inspections end with no parts replaced, costing crew hours and shutdown time.Each pump is inspected when its wear data shows it is due, so crew hours and shutdown time go to the pumps that need them.
Parts come out early because "replace if more than 50% worn" means something different to each fitter, and the wear life left in them is lost.The crew arrives knowing which parts are likely to need replacing, with wear data behind every call.
Maintenance strategies are set conservatively at commissioning and only change when something fails, so pumps that never fail stay on the most cautious schedule for years.Each pump's maintenance strategy is reassessed as new data comes in, and every inspection is targeted using all the process, maintenance and inspection data available.
When the plan changes, inspections get pushed out of a shutdown with no measure of the risk, and some pumps run months past their SAP strategy.The wear data shows which pumps have the margin to move out of a shutdown, so the plan can flex without risking reliability.
What each inspection found is spread across contractor reports and whatever comments and photos make it into SAP, so it rarely shapes the next interval.Every inspection is captured the same way, with photos and a wear rating for each part, and combined with your maintenance and process data into a reliable wear history for every pump.

Results from one site

At a tier 1 mining company, eight critical slurry pumps moved from a fixed 26-week inspection to their own intervals, set from the wear data and signed off by the site's reliability engineers.

  • 52% fewer offline inspections
  • $308,798 a year saved in maintenance costs
  • 179 fewer labour hours a year
  • Fewer break-in work orders
Weeks between offline inspections, per pump
PumpBeforeAfter
Pump 12670
Pump 22668
Pump 32665
Pump 42652
Pump 52651
Pump 62648
Pump 72639
Pump 82638

How it works

Predict combines software that builds a wear model for every pump with engineers who help your team act on it.

A worn cover plate liner, photographed and rated at inspection

Collect more data

Inspections add photos and a wear rating for each part to the maintenance and process data you already keep.

Replacement limit Projected end of life

Build up the model

Wear is tracked against the part's limit, and the model sharpens with every new inspection.

Shutdown

Plan inspections with recommendations

See which inspections can wait, come forward or move to the next shutdown, and plan them with your team.

Software and engineers, working with your team

The Predict platform

The platform builds up a wear model for every part, updated daily from your process data, work orders and inspection photos, and recommends the right action for each upcoming inspection.

Predict's engineers

We work closely with your maintenance and reliability teams to help collect the data, and meet with them regularly to go through the recommendations.

A slurry pump opened up at inspection, with the impeller out and the worn liner showing around the shaft

Cyclone feed pump

Predict platform
Defer until the August shutdown
Predict's engineers
Reviewed with your reliability engineer
Your team
Approved, next inspection rescheduled

Questions

Will inspecting less hurt reliability?

Reliability goes up, because the wear data also flags parts likely to fail before their next inspection, covers pumps with no strategy, and shows which pumps have the margin to move out of a shutdown.

Do we need to install anything?

No: Predict uses the process and maintenance data you already keep, plus inspection photos taken on a phone, with no sensors to fit.

What do you need from us?

An extract of your process data, maintenance history and inspection photos is enough to start, with no IT project.

Where does our data go?

To a dedicated server for your site in an Australian Azure region, never shared with other clients, with sign-in through your own Microsoft accounts.

Who makes the final call?

Your engineers: the recommendations show the data and reasoning behind them, and the maintenance plan stays yours.

Book a demo

Start with a 30-minute demo with one of our engineers, then see what Predict finds on a few of your own pumps.

  1. DemoWe show the platform on a real use case and talk through your pump strategy
  2. StudyWe run a few of your pumps through Predict from a data extract and show which inspections each one needs
  3. ReviewsWe meet your maintenance and reliability teams regularly to go through the recommendations

Book a time

Send two or three times that suit you and we will reply with a calendar invite.

Email to book a demo