{"id":52377,"date":"2025-03-05T11:37:09","date_gmt":"2025-03-05T10:37:09","guid":{"rendered":"https:\/\/grupoalava.rearmachine.com\/preditec\/proyectos\/implementation-of-predictive-strategy-in-maintenance\/"},"modified":"2026-06-08T15:44:29","modified_gmt":"2026-06-08T13:44:29","slug":"implementation-of-predictive-strategy-in-maintenance","status":"publish","type":"proyecto-preditec","link":"https:\/\/grupoalava.rearmachine.com\/en\/preditec\/proyectos\/implementation-of-predictive-strategy-in-maintenance\/","title":{"rendered":"Implementation of predictive strategy in maintenance"},"content":{"rendered":"

Objective<\/span><\/a><\/div><\/div><\/div>
How We Did It<\/span><\/a><\/div><\/div><\/div>
Our Contribution<\/span><\/a><\/div><\/div><\/div>
Results and Achievements<\/span><\/a><\/div><\/div><\/div><\/div><\/div>

OBJECTIVE<\/p>\n<\/div>

Predictive strategy for operational efficiency at Bunge plants<\/h2><\/div>

Bunge International Limited is a global leader in the agri-food sector and a major producer, handler, processor and trader of soybeans, canola, sunflower, corn, wheat and other crops.<\/p>\n

Preditec has been collaborating with Bunge since 2012 in the implementation and operation of the predictive strategy within maintenance. The plan includes Bunge’s assets in four of its plants in Spain, covering about 1300 rotating assets. The implementation phase begins with the analysis of criticality and failure modes to define the techniques to be used and the frequency with which they should be measured. This work allows establishing routes and setting initial alert and alarm levels, which are adjusted over time according to the history generated, thus increasing its reliability.<\/p>\n<\/div><\/div><\/div>

Execution Date:<\/strong><\/p>\n<\/div>

2012<\/p>\n<\/div>

Location:<\/strong><\/p>\n<\/div>

Spain<\/p>\n<\/div>

Sector:<\/strong><\/p>\n<\/div>

Agri-food<\/p>\n<\/div>

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HOW WE MADE IT HAPPEN<\/p>\n<\/div>

Strategic application of predictive techniques to maximize asset reliability<\/h2><\/div>

Vibration measurement and visual inspection, ultrasonic inspection, ESA (Electric Signature Analysis) and MCA (Motor Circuit Analysis) are performed as routine tasks in the plant. Ultrasonic inspection is used for machines with slow speeds, as a complement to vibration measurement, and electrical measurement techniques are used on the most critical motors. ESA tests are performed with the motor energized and MCA tests with the motor de-energized. Another fundamental service is the detection of hexane leaks, a flammable and explosive compound that is the main production consumption for oil extraction. <\/p>\n

With the correct application and combination of predictive techniques, we achieve a reliable diagnosis and an improvement in the monitoring of KPIs. We anticipate failures in order to plan corrective works at the next shutdown, which results in fewer unplanned shutdowns, lower cost and duration of repairs. Thus, we have a holistic view of the mechanical and electrical condition of the equipment, generating a history of asset behavior and being able to cross-reference data between similar machines to make decisions based on continuously updated real data. Thanks to these inspections, resources are invested in machines that really need it. <\/p>\n

Although this is a variable figure, we can say that within an inspection, 5-10% of the assets require exhaustive follow-up and 10-15% require less follow-up. The rest of the machines, which represent the highest percentage, have a good condition (Green Asset) and can wait until the next inspection.<\/p>\n<\/div><\/div><\/div>

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OUR CONTRIBUTION<\/p>\n<\/div>

What products and services we applied to the project<\/h2><\/div>