KEYS TO THIS INDUSTRY

Reduced downtime and increased production in the paper industry

The application of predictive maintenance systems, both portable vibration data collectors and modern on-line monitoring systems, is well proven in the paper industry.
The following are the critical points where it is advisable to sensor the machines in order to continuously monitor their status.

This is perhaps the most critical area of the paper machine because of its influence on paper quality. Vibration monitoring will provide information on the condition of:

  • Bearings.
  • Lubrication.
  • Cylinders and rollers.
  • Fabrics.
  • Drives.

The drying zone is composed of a large number of cylinders and rollers likely to cause a machine shutdown in the event of a bearing failure. Although vibration measurements of this zone have traditionally been taken manually, the high part inside the hood could not be measured with the machine running because of the high temperatures recorded there. Placing a sensor for each bearing in this area may seem costly and laborious, but the factories that have already done so continue to maintain the installation, as they have already seen the advantages of having the necessary information to replace bearings during planned shutdowns and thus anticipate undesirable failures that cause ruinous production stoppages.

Pumps, fans, motors, gearboxes,…

RELEVANT FIGURES

Learn some facts about the paper industry

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In 2023, paper and cardboard production in Spain fell by 4.6%.
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The Spanish paper industry had 1,806 companies in 2022
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In 2022, the paper sector directly employed 16,968 people

WHAT WE OFFER

Everything the paper industry could need

  • Ultrasound

    Industrial ultrasound can detect incipient problems such as leaks, excessive friction and bearing failures with high precision, making it an essential technology in industrial predictive maintenance.

  • Portable equipment

    Portable vibration analysis equipment allows fast and accurate diagnostics in the field, identifying unbalances, misalignments and incipient faults in rotating machinery.

  • Laser aligners

    Laser aligners guarantee precision in the alignment of rotating machines, reducing vibrations, wear and faults, and are essential for industrial predictive maintenance.

  • Monitoring of reciprocating compressors

    The monitoring of reciprocating compressors allows the detection of incipient failures in valves, pistons and lubrication systems, being an essential strategy in industrial predictive maintenance.

  • Oil analysis

    Oil analysis allows to evaluate the internal condition of equipment by detecting metallic particles, contaminants and lubricant degradation, being essential in industrial predictive maintenance.

  • Precision maintenance

    Precision maintenance products enable detailed analysis of vibrations, alignments, and operating conditions, detecting incipient failures with a level of accuracy that other technologies cannot match.

  • Thermographic Inspection Courses

    Train in the use of infrared thermography for early detection of failures in industrial equipment and systems. Learn how to interpret thermal images to optimize predictive maintenance and improve operational efficiency. Some courses are certified by ITC - Infrared Training Center, guaranteeing international recognition.

  • Maintenance management courses

    These courses provide the tools and strategies to optimize the planning, execution and control of industrial maintenance. Learn how to improve equipment availability, reduce costs and apply methodologies such as predictive and condition-based maintenance for efficient and operational reliability oriented management.

  • Lubrication courses

    Provides essential knowledge for effective lubrication management in industrial machinery. Learn how to select, apply and monitor lubricants to reduce wear, improve efficiency and extend equipment life. Our courses will help you optimize maintenance and improve operational reliability.

  • Machinery diagnostics courses

    Provides the key methodologies and tools to detect, analyze and prevent failures in industrial equipment. Learn how to interpret vibration data, ultrasound and other parameters to optimize maintenance, reduce downtime and improve the operational reliability of your machinery.

  • Predictive maintenance

    Predictive maintenance is an advanced strategy for detecting incipient failures in industrial equipment before they become serious failures. It is used to optimize production, reduce downtime and minimize maintenance costs, and is key in sectors such as energy, automotive, petrochemical and manufacturing.
    At Preditec, we offer basic and advanced predictive maintenance services designed to maximize the efficiency and reliability of industrial assets. Through vibration analysis, thermography, ultrasound and lubricant monitoring, we help our customers achieve greater competitiveness and reduced operating costs.

  • Advanced analysis

    Machinery diagnostics is a key tool in predictive maintenance, as it allows to detect and prevent failures in critical equipment before they affect the industrial productivity and operability. It is used to analyze the condition of assets, optimizing their performance and extending their useful life. At Preditec, we offer advanced machinery diagnostics services, applying technologies such as vibration analysis, thermography, ultrasound and real-time monitoring, which are essential to ensure equipment reliability, avoid catastrophic failures and improve industrial maintenance management.

  • Maintenance of monitoring systems

    The maintenance of monitoring systems is an essential process to ensure the correct operation of continuous monitoring systems in industry. These systems allow early detection of failures by measuring and analyzing parameters such as vibrations, temperature or pressure. Keeping them in optimal conditions is key to ensure the availability of machinery and minimize operating costs.

    Preditec has a team of technical personnel specialized in the design, installation and commissioning of continuous monitoring systems.

POSSIBLE APPLICATIONS

Some applications of our products and services in this industry

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More about the Paper

Benefits of predictive maintenance in the paper industry

Predictive maintenance in paper mills offers multiple operational and economic advantages. Thanks to the implementation of specific technologies, such as vibration sensors and online analysis, it is possible to monitor the condition of machinery in real time, optimize technical resources and reduce the total cost of maintenance.

Reduction of critical failures in cylinders and rollers

One of the most common risks in paper production is the failure of rolls or cylinders, especially in presses. Vibration monitoring in these areas makes it possible to detect misalignment, worn bearings or lubrication problems before they become serious failures that force the machine to stop for hours.

Optimization of the availability of key machinery

Continuous monitoring of the condition of paper machines by means of vibration analysis and intelligent sensors allows decisions to be made based on real data. This results in a significant improvement in the operational availability of equipment such as presses, dryers, motors or fans.

Efficient planning of scheduled shutdowns

With a well-implemented predictive system, it is possible to coordinate maintenance interventions with planned shutdowns, avoiding unexpected interruptions in production. The detection of incipient failures in areas such as the drying section allows to act proactively, reducing downtime and operating costs.

Improved end-product quality and waste reduction

Mechanical failures in rolls, bearings or drives can directly affect paper quality, generating marks, unwanted vibrations or surface defects. Predictive maintenance ensures process stability, reduces material waste and improves product uniformity.

Technological trends in predictive maintenance in the paper industry

Technologies applied to predictive maintenance have evolved to meet the specific challenges of the paper industry. Digitization, intelligent sensing and the integration of multiple parameters enable more accurate and reliable diagnostics.

Maintenance digitization and data-driven analysis

The incorporation of digital platforms facilitates the collection, analysis and management of data obtained through sensors. This allows historical tracking of asset status, automatic reporting and informed technical decisions, all within an Industry 4.0 strategy.

Sensors for continuous monitoring in hard-to-reach areas

In areas such as the drying hood, where high temperatures prevent manual inspection during operation, the installation of permanent sensors on the bearings is an effective solution. These devices allow continuous and safe monitoring, anticipating failures without the need to stop the machine.

Integration of vibration analysis with other critical parameters

In addition to vibration analysis on paper machines, data on temperature, pressure, energy consumption or lubrication can be integrated to obtain a complete diagnosis. This multi-technology improves fault detection capability and allows prioritizing interventions according to the level of criticality of the equipment.

Application of predictive technologies in auxiliary equipment

Pumps, fans, gearboxes and electric motors are also responsible for many unplanned stops in paper mills. The application of predictive techniques on these auxiliary equipment helps to reduce the number of corrective interventions and to guarantee the continuity of the production process.