Case study · Mining · Mexico
Leading company in gold extraction at the national level in Mexico.
A really nice solution, this is a test case with all test information.
The problem
Electric shovels are among the hardest assets to monitor predictively. Wired sensors are up to 400% more expensive to install. Traditional wireless sensors generate false alerts on mobile assets and waste up to 43.5% of their battery capturing irrelevant data during idle cycles.
Solution
Wiver™ IM wireless sensors were installed on the hoist, attack and swing reducers. The system automatically detects when the machine is running and captures synchronized triaxial vibration and temperature data every 5 minutes — no wiring, no IT infrastructure required.
Process
Predicore AI™ detected two critical anomalies during operation. The first was rotational looseness in a motor brake — confirmed during inspection as loose transmission bolts. The second was transmission misalignment — corrected with a precision alignment intervention. In both cases, vibration levels dropped 60% after the intervention, returning the asset to optimal operating condition.
Results
Rotational looseness and transmission misalignment detected before causing unplanned shutdowns. Preventive maintenance intervals extended. Zero production losses during the monitoring period.
Testimonial
“The sensors have helped us detect failures related to imbalance, bearing damage, lubrication issues and loose components.” Ing. Aldo Macías — Mobile Equipment Superintendent, Newmont Peñasquito
