Driven by Data

Posted by  Gareth Pollard 14-Jun-2017 09:30:13

gareth-pollard
Gareth Pollard is our Product Manager for Bearings with over 15 years experience within the industry.

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In every sector, uptime, reliability and consistent high performance are top priorities for the owners and operators of machinery. Maximising the total
productivity of an asset requires a lifecycle approach, starting with a robust design and high quality components, and extending through manufacturing,
installation and commissioning, and operations and maintenance.

With expertise in rotating equipment that dates back to 1907, SKF has developed a comprehensive range of tools and services designed to help users get the best out of their machines at every stage in that lifecycle. The company’s latest offerings take full advantage of advanced digital technologies – from network connected devices and sensors to comprehensive cloud-based analysis and support capabilities.

Design support

A reliable, cost-effective machine design begins with the selection, specification and configuration of In every sector, uptime, reliability and consistent high performance are top priorities for the owners and operators of machinery. Maximising the total productivity of an asset requires a lifecycle approach, starting with a robust design and high quality components, and extending through manufacturing, installation and commissioning, and operations and maintenance.

In the Knowledge Centre, users can find calculation and selection tools for bearings, seals, linear motion systems and a host of other machine components. They can download CAD models of SKF components and systems, and access user-friendly tools to aid the set-up of configurable products such as lubrication systems.

Machine monitoring

The shift to condition-based maintenance is one of the most powerful ways users can improve the lifetime value of their assets. The approach has the potential to dramatically reduce both planned and unplanned downtime, keeping machines working better for longer.

SKF is the ideal partner to help companies at every step in their transition to predictive, condition-based maintenance. Its offering begins with a wide range of hand-held or permanently installed instruments to facilitate the collection and analysis of machine performance data. The company’s range of powerful but easy-to-use basic condition monitoring tools is ideal for operator-driven reliability programmes. It includes infrared thermometers, hand-held tachometers, noise and vibration sensors, endoscopes, thermal imaging systems, electrical testing devices and oil analysis tools.

Moving on-line

By connecting production assets to their networks, companies can extend their data-driven machine performance and reliability programmes to the next level. Networked sensors and computing capabilities allow owners to automate machine monitoring activities and take advantage of powerful analytics capabilities.

The new SKF Multilog IMx-8 machine health monitoring platform, for example, is a compact, easy-to-use device that can collect data from multiple sensors and communicate with external systems over a wide range of network interfaces. In on-line mode, the IMx-8 can be used in conjunction with the SKF @ptitude Monitoring Suite for a completely integrated approach to condition monitoring that allows fast, efficient and reliable storage, manipulation and retrieval of large amounts of complex machine and plant information.

This data can also be collected and analysed locally using the SKF Microlog portable data collector/analyser to provide advanced warning of developing problems such as bearing damage, imbalance and lubrication problems, which can be reported in good time to relevant on-site personnel. Moreover, SKF Microlog can be used in conjunction with the IMx-8 running SKF @ptitude Observer software to provide a complete system for early fault detection and prevention, ultimately improving machine reliability and availability

Expertise on demand

Networked condition monitoring doesn’t have to stay within the walls of the organisation. The SKF Industry 4.0 and Industrial Internet of Things initiative starts at the machine itself, where ‘smart’ bearing technologies using embedded sensors and self-powered wireless technologies enable real-time condition monitoring data to be transmitted to a variety of receiving devices and subsequently to the Cloud via Internet connections. Remotely located maintenance experts can apply analytical software tools to this huge reservoir of machine condition information to generate instantaneous machine condition reports and identify trends that might indicate an impending problem.

SKF has built dedicated capabilities to offer this kind of 24/7 online machine monitoring service in a number of industry sectors,including marine and offshore operations, and wind energy. The company is now extending similar monitoring and diagnostic services to a much wider range of sectors, and launching new tools and applications to dramatically simplify the work required to put condition monitoring data online.

Launching this spring, for example, the new SKF Enlight QuickCollect sensor is a simple and robust hand-held unit that monitors both vibration and temperature, transmitting this data wirelessly to a mobile device. From there, users can choose between two analysis options. An entry- level app called SKF QuickCollect allows users to capture and store diagnostic data for subsequent analysis. Alternatively, a second app, SKF DataCollect, offers users an upgrade path to extended diagnostic capabilities, customised forms for the collection and display of all types of inspection and process data, and the ability to register for, and connect to, the SKF Cloud for access to SKF’s remote expert services.

The SKF DataCollect app also provides automated diagnostic features based on ISO standards, regulatory inspections for compliance, report generation, date and time stamping and compatibility with SKF @ptitude Inspector software.

 

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Topics: News, Innovation, Best Practice, Engineering, Condition Monitoring, Bearings, Efficiency, Industry 4.0, Bearings and Lubrication

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