FOOD AND BEVERAGE | SPAIN

Implementation of predictive maintenance strategy

+1300 rotating assets
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PROJECT OBJECTIVE

Predictive Maintenance Strategy

Bunge International Limited is a global leader in the agri-food sector and a leading producer, handler, processor and trader of soybeans, canola, sunflower, corn, wheat and other crops.

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.

Date of execution:

2017

Location:

Spain

Sector:

Agrifood

Client:

How we made it happen

Predictive techniques, the key

It starts with the analysis of criticality and failure modes to define with which techniques and at what intervals it 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.

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 in order to extract the oil. 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.

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OUR CONTRIBUTION

Some of our products and services applied to this project

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Service

Technology consulting

We advise on the best technological solution to apply according to the needs of each project. Learn more about our technology consulting.

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Service

Industrial automation

To achieve effectiveness and efficiency in the digitization process of the industry. Learn more about our industrial automation service.

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Service

Maintenance and predictive diagnostics of machinery

Advanced diagnostic techniques capable of identifying virtually any machinery failure. Learn more about our predictive maintenance service.

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PRODUCT

Predictive maintenance

Combination of predictive techniques to achieve a reliable diagnosis and an improvement in the monitoring of KPI's. See all our products for predictive maintenance.

Need more information about our products and services for your industry?

Need more information about our products and services for your industry?

RESULTS AND ACHIEVEMENTS

Definition of criticality criteria

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.

The inspections are documented in the Preconcerto web platform, where the database is generated with the relevant asset information, the plant status is visualized, KPI's are tracked, bi-directional plant-analyst communication is allowed and customized reports are generated.

Apart from these inspections with portable equipment, there are assets that require continuous monitoring due to their criticality, the nature of the failures or their location in inaccessible areas. These are digitization projects where the machine is instrumented (with wired or wireless sensors) and the signals are taken to the monitoring hardware, managing the information remotely from the Asset Web Monitor (AWM) web platform.

5-10%

of the assets requires exhaustive monitoring

10-15%

of assets requires less monitoring

OUR EXPERIENCE

Other projects and clients that have counted on us

GROUP COMPANIES

The synergy of our companies is the key to our success.

We have specialized in the needs of our customers and the technologies they require, maximizing the capabilities of each brand with the synergy of the Alava Group itself.

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