Metrology, Technology, And Predictive Maintenance

Metrology, Technology, And Predictive Maintenance

Fluke Tour May 6 Fluke invited a group of partners, customers, and bloggers to its Everett, WA corporate facility on May 6 in order to take a deep technology dive into where Fluke is and where it is going from a product/technology point of view. The tone of the gathering was one of conversation where Fluke presented ideas and asked for push back and ideas from us.

And feedback was what they got. The small group I was part of came up with four flip chart pages of ideas regarding proposed new products and products we thought it should pursue.

We also toured labs and manufacturing. Here are some brief impressions.

Fluke has an impressive metrology lab, actually two. The electrical lab has been around for a long time. A new thermography lab has just been constructed. I’m familiar with measurement, but the level of measurement and the dedication to standards was amazing. The science behind all the Fluke tools is solid.

Manufacturing is probably a poster child for the Danaher Production System—the company’s Lean implementation. The facilities are clean, organized with information clearly posted at the cells.

Fluke is also moving further into software—databases and analysis. Initially, Fluke Connect was a cool collaborative app for smart phones. Now it is evolving into helping smaller companies who may not have CMMS or other systems improve asset management through the information gathered from Fluke tools.

This is a product that holds great promise for many who need to start along the predictive maintenance path. “We’d like to help change behaviors in the maintenance and reliability areas.”

Given that, here is the press release for the unveiling of Fluke Connect Assets.

Fluke Connect Assets is a cloud-based wireless system of software and test tools that gives maintenance managers a comprehensive view of all critical equipment — including baseline, historical, and current test tool measurement data, current status, and past inspection data — enabling them to set up and sustain a predictive maintenance (PdM) or condition-based maintenance (CBM) system easily with minimal investment.

It features one-touch measurement transfer from more than 30 Fluke Connect-enabled test tools, eliminating manual recording of measurements so maintenance managers can be confident that the equipment history is accurate.

The company says it’s easy to set up with minimal investment and no need for support from the IT department.

The system’s features allow maintenance managers to analyze multiple types of predictive data (for example, electrical, vibration, infrared images) all in one program, side by side, in a visual format that enables easy scanning. In fact, it’s the first software that offers results across multiple deployments (smart phone, web browser). This intuitive display of multiple measurements enhances the productive use of data and the ability to identify a problem, since each measurement type tests a different aspect of equipment health and together they present a more complete picture.
Key features of Fluke Connect Assets include:

  • Asset Health Dashboard — Asset Health is a hierarchy based overview of aggregated status over time, aggregated alarms over time, and equipment status timeline, all with drill downs with more details. This permits managers to quickly identify where they need to focus efforts as part of a morning routine. They can trend and compare thermal, electrical and vibration data over time for each piece of equipment and drill down to the data needed for repair/replacement decisions.
  • Asset Status Dashboard — allows managers to quickly scan the most recent status updates for key assets so they can better monitor team and equipment activity.
  • Asset Hierarchy and Test Points — allows managers to easily create inspection routes, schedules and instructions and assign technicians to measure specific test points to create repeatable, comparable data.

 

Yet Another View of Industry 4.0

Yet Another View of Industry 4.0

A blog on the HP site by Christian Verstraete offers yet another opinion on Industry 4.0. However, he never really talks about Industry 4.0. Instead, he discusses the Internet of Things. Even though this is not “mainstream media,” it is still an example of sloppy thinking.

Beware of Industry 4.0 Misinformation

Verstraete first off confuses two terms. He never really touches on what Industry 4.0 is–including digital manufacturing, cyber physical systems, or, indeed, manufacturing. While making a couple of aside comments about manufacturing, he really only talks about the consumer side of the equation.

He links it directly to the Internet of Things–catering specifically to the usage of the internet of things in industries.

“Let’s start with the fact that companies increasingly cooperate in product development, across their supply chain and in their maintenance operations. Then, let’s look at where the Internet of Things can actually help enterprises deliver better products, cheaper and faster while maintaining or improving quality levels and services.”

He continues, “So, collecting market research as well as user data and then making it available to the developers would really help them defining the next generation product. But given market concerns about privacy, your data collection approach should be thought through very carefully.”

From a manufacturing point of view, this is one of the two promises of machine-to-machine (M2M) theory. An OEM, for example, could monitor its machine in the customer’s plant for both providing maintenance service and for collecting data on machine performance and component performance for the purpose of improving its product.

“An Industry 4.0 example would then be that you, as part of the product development process, desire user data, but you are not interested in the individual. You will need to demonstrate to customers that the information gathered is anonymous and there is no way for anybody receiving the information, legally or illegally to trace it back to the end-user.”

He misses an opportunity to inform his readers about the “industry” in Industry 4.0. Here he once again uses consumer point of view:

He then progresses to “maintenance operations.” I’m not sure if he is confusing maintenance and operations or simply referring to maintenance. But he misses a great opportunity to discuss the value of predictive maintenance or condition-based maintenance.

“Whether we talk about maintenance operations within the production environment or services to maintain equipment at the customer site, the problem remains the same. When is an intervention required? Typically we have two approaches. Either regular preventive maintenance (for example yearly) or maintenance triggered by usage (typical in the car industry), it always happens before the fact and does not take into account the actual status of the equipment.”

Let’s all press people to define terms and resist just mixing up all the terms and then running with a half-baked idea. There is the Internet of Things. There is Industry 4.0 (of which you have probably heard much). There is Smart Manufacturing (of which you have probably only heard of here–and you most likely won’t any longer because I have been removed from the formation group).

As the technologies evolve and engineers begin to implement, manufacturing efficiency and profitability should be experiencing a step change improvement.

Yet Another View of Industry 4.0

Predictive Condition Based Maintenance

Phys Asset Reliability GE ImagePredictive technology in the asset performance arena seems to be the trend of the week. I wrote yesterday about a solution. Today brings another announcement. I think I’ll learn more about this one next week at the 2015 ARC Forum in Orlando. (By the way, if you’re there, please look me up.)

The headline for this article came from GE. I’ve heard of predictive maintenance (which many aspire to and few achieve) and condition-based maintenance (similar but, I guess, different). Here they combine the two. Check it out and let me know what you think.

GE’s Measurement & Control business and Meridium Inc. introduce Production Asset Reliability (PAR), an integrated Asset Performance Management (APM) offering for an all-in-one view of equipment health. Combining GE Measurement & Control’s System 1 condition monitoring and diagnostic applications with Meridium’s suite of enterprise performance management and asset strategy solutions, PAR provides a holistic and quantifiable view of operations, maintenance, availability and overall operating performance for production assets.

System 1, GE’s patented condition monitoring software, helps users quickly diagnose potential equipment and instrument health issues which can lead to equipment failure. Meridium’s applications provide structured processes and analytics to identify critical assets and failure modes, calculate equipment reliability and determine downtime impacts. The integrated PAR solution provides an end-to-end process that connects the machine diagnostics to the business context and execution to drive optimized maintenance practices and production loss management for all asset-intensive industries.

“Today’s measurement, monitoring and management systems are disconnected, and, as a result, organizations fail to leverage quality data for actionable insights,” said Art Eunson, general manager for Bently Nevada, GE Measurement & Control, a GE Oil & Gas division. “GE and Meridium’s integrated PAR offering empowers our customers with the ability to connect identification, evaluation and execution for greater asset optimization and productivity.”

Asset intensive organizations are challenged to maximize production, minimize costs, follow regulations and manage risk. To balance the demanding requirements, operators require a more cohesive system that assesses equipment performance and manages the resulting data. GE and Meridium provide this comprehensive solution for customers to effectively measure, monitor and manage each connected asset.

“With greater availability of big data and connected assets, there is an end-to-end picture of plant operations waiting to be tapped by organizations from the plant floor to the corporate office in order to stay competitive on a global scale,” said Bonz Hart, Meridium Founder and CEO. “PAR measures performance, quantifies risk and delivers analytics in real-time, providing customers with the insight needed to effect real change, improve efficiency and reduce maintenance costs.”

The Oil & Gas industry demand solutions that can grow with business demand and adapt rapidly to changing technical environments. That is why GE’s industrial solutions such as System 1 are standardizing on GE’s software platform for the Industrial Internet, Predix.

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