International Maintenance Conference: The Speed of Reliability

International Maintenance Conference 2025: The Speed of Reliability

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asset condition management

The Road to Lubrication Excellence

The Road to Lubrication Excellence

IMC-2017 Learning Session - 33:22
by Alan Knight, Mueller Company

When implementing any new improvement initiative, there are two absolutes that must be known: where you currently are and what the goal is. In order to know where the program was, the oil vendor was contacted and a lubrication survey was performed to identify what lubricants were being used, by whom, and how frequently. Once completed, we were able to consolidate oils and greases, eliminate some bad habits, and improve our oil handling and storage practices. Once able to exercise more control over the contamination in our lubricants, knowing the condition of these lubricants in our critical equipment became necessary.

To paraphrase Jim Collins in "Good to Great" - in order for companies to be successful, the right people must be in the right seats on the bus. Having the right lubrication personnel is critical to success.

Mistakes were made early on by trying to take the less expensive route on training. The results of this was that both oilers became discouraged and bid off of the job - they had been set up to fail. We reevaluated and improved the training method and were successful, proving that there are no shortcuts and spending money for the best training is a sound investment.

Perhaps the most important ingredient to sustained success in any initiative such as this is management buy-in and support. Without it, one cannot maintain or expand and improve the program.

As stated previously, there are two absolutes; the second is the goal. Our goal is to have a world class lubrication program. We are still a ways from being there but with the strong management support we have at the plant level and at the corporate level, we have everything at our disposal to achieve it.

 Wireless Lubrication Monitoring World News!

Wireless Lubrication Monitoring World News!

The WLubeMon monitors that the right amount of lubricant is fed in the right time to the bearing – the fundamental criteria for reliable lubrication system.

Practical Machine Learning for Predictive Maintenance

Practical Machine Learning for Predictive Maintenance

IMC-2017 Learning Session - 41:17
by Simon Xu, Petasense, Inc.

A machine learning based anomaly detection program is the ultimate reliability tool for any industrial maintenance team. Basic temperature and vibration RMS alarms are simple to implement, but with the prevalence of wireless internet-connected sensors, machine learning can be the link to a truly cutting edge reliability program. An anomaly detection program can trigger an alarm when it detects multidimensional pattern changes in the data it collects. It can then perform a measurement to identify how much this anomaly deviates from a baseline, which will correlate with the health of the machine. This tool can provide more value than traditional systems, by capturing the same anomalies that are triggered by band alarms, then going further to identify false negatives from abnormal patterns.

As with any machine learning program, the anomaly detection program requires a training period, which can be as short period as 1-2 weeks. During this time the system observes and learns the normal behavior of the equipment. Since the machine may not be perfectly healthy at the outset, it is important to define the machine’s existent health using accumulated data from similar machines. In just a few weeks, the machine’s health can be accurately determined and the machine learning algorithm can start identifying anomalous behavior autonomously. Over time, different machine faults can also be tagged, training the program to recognize similar defects in the future, even among different machines.

While a machine learning program cannot replace an analyst, it has the potential to become the “go-to” analysis tool to identify machinery faults and make work order decisions more efficiently. A machine learning based health score can also be used to decide whether to perform a PM step or not and change the frequency of a PM task.

 Summit for Electrical System Reliability Practitioners Kicks Off in May

Summit for Electrical System Reliability Practitioners Kicks Off in May

The Electric Power Reliability Summit is a two-day event that brings electrical system and reliability leaders together from all over the country to take on the biggest problem in industrial power reliability: the reliability gap. The Summit takes place on May 16 and May 17, 2018, at The Woodlands in Houston.

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The Use of Drones in the Future Facility Maintenance and Inspection Industry

Drone-based nondestructive testing allows easier, faster and inexpensive identification of flaws and defects on materials. Using location and other controls, the drones can take the same tests from the same point and angle repeatedly.

Drone-based inspection and maintenance provides a wide range of possibilities that take advantage of the mobility of the drone, as well as the nondestructive nature of the tests. These tests can help oil and gas companies identify defects and reduce the rate of failures and unplanned shutdowns.

The delicate nature of the oil and gas industry requires close and careful monitoring of its systems, such as pipelines, refineries and more. However, some traditional nondestructive testing (NDT) requires shutting down operations, as well as the repair or replacement of the test area or component.

Human Machine Collaboration Panel

Human Machine Collaboration Panel

IMC-2017 Panel Discussion - 39:45
by Mary Bunzel, Doug Cook, Sandra DiMatteo, Will Goetz, M. Mobeen Khan, John Murphy, Mike Poland, Heather Preu, Jagannath Rao

Machine learning and artificial intelligence is progressing at a rapid pace. According the Bureau of Labor Statistics, over 60% of maintenance tasks will be "machine" assisted by 2022. Join industry thought leaders at IMC-2017 for a vibrant panel discussion about human machine collaboration to advance reliability and asset management.

 Fluke Corporation Names David O’Reilly President of Fluke Digital Systems

Fluke Corporation Names David O’Reilly President of Fluke Digital Systems

O’Reilly leads the team managing the Fluke Accelix ecosystem of connected tools and solutions

 Equipcast Announces ECSecondSight™ v1.2 with Smart Indicators, Transforming Asset Health Methodology

Equipcast Announces ECSecondSight™ v1.2 with Smart Indicators, Transforming Asset Health Methodology

Equipcast utilizes Machine Learning and Predictive Analytics to provide the industry's leading Operational Health and Performance Optimization solution. We simplify and improve operational processes by discovering value from the complexity of equipment and maintenance data.

Using Discipline in the Basics to Solve Today’s Complex Problems

Using Discipline in the Basics to Solve Today’s Complex Problems

IMC-2017 RAP Talk - 20:41
by Brian Gleason, Des-Case

In this RAP Talk from IMC-2017, Brian Gleason of Des-Case outlines helpful leadership tactics. Wherever you are on your leadership or reliability journey, you didn’t get there overnight, and you won’t get into the next step overnight either. Join Gleason as he talks about leadership, work-life leadership, and how it ties together for him on his own personal journey.

 February - March 2018

February - March 2018

Click to read all articles from this issue. You can also download the full PDF.

2017 Uptime Awards - Recognizing the Best of the Best!

2017 Uptime Awards - Recognizing the Best of the Best!

Uptime magazine congratulates the following outstanding programs for their commitment to and execution of high quality Predictive Maintenance and Condition Monitoring Programs.

Making It in a High Frequency World Striving for High Frequency Industrial Accelerometers

Making It in a High Frequency World Striving for High Frequency Industrial Accelerometers

As predictive maintenance teams in industrial facilities strive for a more complete picture of their equipment’s health, high frequency vibration measurements have become a crucial addition for identifying faults, such as motor and pump bearing defects and gear tooth inconsistencies in high-speed gearboxes. As a result, there is an upsurge in demand for vibration sensors with a high frequency response.

 Senseye announces predictive maintenance software upgrades

Senseye announces predictive maintenance software upgrades

Senseye, the leading scalable predictive maintenance software, has announced 2018 enhancements for its award-winning machine health analysis product.

How a Modern Data Digital LTSA-CSA Platform Architecture Can Assist Companies with Equipment Uptime

How a Modern Data Digital LTSA-CSA Platform Architecture Can Assist Companies with Equipment Uptime

The RELIABILITY Conference - 41:16
by Sergio Tuberquia, Equipcast, Inc.

In today’s Industrial Digital Age in maintaining High-Value assets, the agreed to or negotiated Long Term Service Agreement’s or Customer Service Agreements are faced with conflicting new optimization goals vs. the OEM's original LTSA / CSA (Long Term Service Agreement-Customer Service Agreement) platform capabilities. Typically, the OEM technology cannot maintain with the pace of the new digital strategy that their customers want to adopt to help forecast their equipment’s ‘Up-time’.

A new or approach that industrial companies industrial are adopting is to combine a Modern Data Architecture, Industrial Data Science with their existing infrastructure to further extend the use of their own data to apply advanced analytics used to estimate equipment performance, optimize maintenance & forecast failures.

The results are that companies are developing KPI’s that were no longer possible for reasons ranging from constrained commercial or technical capabilities that are being implemented to achieve actionable KPI’s in managing their assets / equipment. The results range from an increase of 5% Uptime of equipment train in a offshore platform that raised the reliability and availability of the equipment via their own in-house OEM ‘like’ EHM monitoring center to predicting and preventing downtime of a production asset infrastructure and throughout it’s value chain.

The conclusion is that your data is like oil, it holds an intrinsic value. This value also carries an inherent shelf-like or perishable value as well. If it’s not used at the time its produced, then its value diminishes over time. So when it comes to your companies new optimization goals vs what the OEM may provide with its platform, your agreed or negotiated service agreement may not be the right fit for today or tomorrow’s optimization goals.

 IRISS Announces Partnership with SONOTEC

IRISS Announces Partnership with SONOTEC

IRISS and SONOTEC have now announced that IRISS will be the Master Distributor for SONOTEC handheld ultrasound equipment for North America, South America (excluding Brazil) and the Caribbean. In addition, IRISS will provide calibration and repair services on SONOTEC products in the region.

 Rosendin Electric deploys cutting-edge Fluke Accelix Technologies to streamline processes

Rosendin Electric deploys cutting-edge Fluke Accelix Technologies to streamline processes

Rollout of wireless Fluke Connect-enabled tools is a critical element in Rosendin’s drive to use the Internet of Things to take electrical commissioning to the next level

 PRUFTECHNIK Establishes New Calibration Laboratory for Vibration Sensors

PRUFTECHNIK Establishes New Calibration Laboratory for Vibration Sensors

Bavarian Expert for Condition Monitoring Systems Raises Quality to the Next Level

The Industrial Internet: Disruptive, Innovation, Readiness

The Industrial Internet: Disruptive, Innovation, Readiness

If you search the Internet for information on asset management, the Internet and Industrial Internet of Things, digitalization, business trends and business reengineering, you’ll find a considerable increase in the number of articles with headlines heralding or promising significant and “disruption” or “disruptive” change.

 Covestro Chooses Emerson’s Industrial IoT Solutions for Improved Uptime and Operational Performance

Covestro Chooses Emerson’s Industrial IoT Solutions for Improved Uptime and Operational Performance

Emerson to deliver Software-as-a-Service technologies for remote monitoring and predictive maintenance

 Hansford Sensors opens new sales centre to meet growing demand

Hansford Sensors opens new sales centre to meet growing demand

Hansford Sensors has expanded its presence in the North American market by setting up a dedicated sales operation near Greenville, South Carolina. The move will enable the company to further enhance its customer services and meet growing demand for its advanced vibration monitoring solutions.