Overcoming IIoT Ready Challenges for Industrial Machines

Posted by Troy Fulton on June 20, 2017

iiot challenges for industrial machinesCondition monitoring is increasingly becoming a sought-after solution to solving the needs of industrial plant maintenance.  But condition monitoring is typically expensive and complicated to set up.

In this post I'll detail why condition monitoring is so attractive; but I'll also explain some shortcomings of traditional condition monitoring solutions.


Industrial Machinery Maintenance Strategies

The Industrial Internet of Things (IIoT) “would-be-edge” is populated with millions of industrial machines.  To fully participate in IIoT, data from industrial machines must be obtained.  Typically, Condition Monitoring sensors can provide that data, but with a caveat.  Condition Monitoring is typically an expensive, labor intensive, and complex solution.

Condition Monitoring is one of three typical maintenance strategies:

  • 55% Unplanned (also known as “run to fail”) Reactive maintenance
  • 40% Planned: Preventative maintenance
  • 5% Condition Monitoring: Evidence-based maintenance

Run to Fail (Unplanned)

Because Condition Monitoring is expensive and labor intensive, the “run to fail” maintenance strategy is the most common approach; unfortunately, the cost in downtime is over $2.5T according to the US Department of Energy’s Advanced Manufacturing Office.

Preventative Maintenance

Preventative Maintenance gives a false sense of security, because paying for maintenance based on a date, and not based on evidence, is spending money on the hope of preventing downtime.  Why? Because preventative maintenance, typically, does not provide visibility into machine operating health. 

Condition Monitoring (CM)

For many maintenance practitioner professionals and leaders, a condition monitoring program begins with a mix of hope and skepticism. Unfortunately, for the past 25 years Condition Monitoring (CM) has evolved slowly, if at all.  A contributing factor is cost.  Condition monitoring, on a per machine basis, can cost between $15,000 - $20,000 (USD) for hardware, software, and service.  There are additional lifecycle costs as well such as employee training to operate the condition monitoring equipment, and understand the complex data output.

Is Condition Monitoring the Answer?

Many Condition Monitoring products are “portable” requiring maintenance engineers to walk from machine to machine acquiring the data manually or via Bluetooth.  The most common data capture method? Pen and paper (68% of firms) per Plant Services magazine in 2016.

The problem is data acquisition cost

The challenges are not just the condition monitoring product’s CapEx price, data complexity, or staffing limitations.  Many industrial machines are not designed to provide operational health data; therefore, a sensor solution is required.  Typically vibration meters are used to gather this data; but vibration data loggers and complete standalone vibration condition monitoring systems provide the opportunity for more data capture.

The common denominator among most Condition Monitoring sensors is the requirement for either wired power or replaceable batteries to power the sensor.

Power options for condition monitoring sensors

There are a few power options for condition monitoring sensors, detailed below.  They all have different pro's and con's; but energy harvesting combined with batteries presents an interesting solution.

Power Source

Description

Pro's

Con's

Wired

Plug-in AC power

High-availability

  • High CapEx install cost
  • Expensive energy source vs other alternatives

Batteries

Replaceable (or rechargeable) power source

  • Cost savings
  • Last 2 – 4 years typically
  • Frequent monitoring and duration results in lower battery life
  • High OpEx lifecycle cost per batter is about $500 per sensor

Energy Harvesting

Utilizes ambient energy such as vibration to power the sensor

  • No cost energy source
  • Perpetual availability
  • Single EH source does not deliver power consistently
  • Dual EH sources require manual switching by staff

Combination of Batteries and EH

Sensor design includes battery and external add-on (1) EH source 

Extends battery life

  • High-cost
  • Does not eliminate manual battery replacement 

The Need for All Machines to be Monitored

There is another, less obvious, issue for today’s condition monitoring programs.  The outcome is data for one machine, or data for only a few individual machines.  Thus, the data is limited to those few machines and not across the plant. 

While a few critical machines may have condition monitoring, many other machines deemed essential and important are not which means most of the plant is either A) running to failure, B) over paying for preventative maintenance, or C) a mix of both.

Condition Monitoring enables strategic competitive advantages

Today, the strategic competitive advantage from condition monitoring is operational effectiveness.  In other words, maximizing machine up-time.

GE has improved efficiency in operations in existing gas turbine equipment through data analysis of more than 100,000 million hours of operating data — sourced from 100 physical and 300 virtual sensors on each upgraded gas turbine. Leveraging internal expertise to monitor 1,600 assets has resulted in improved performance — more output (5% to 10%), better efficiency (1% to 2%) and lower emissions.

Asset Effectiveness: The driver for change in Condition Monitoring

For asset-intensive companies, operational excellence is shifting from physical equipment to information assets derived from that same equipment. More specifically, the search for competitive advantage is starting to focus on companies' ability to capture information from a wide spectrum of sources, and then visualize, analyze, propagate and contextualize it in a way that will drive the next wave of business transformation.

Data value in the connected and quantified plant

Mandates from C-leaders to increase profitability via asset management efficiencies, such as condition monitoring, is driving convergence of multiple technologies across wireless communication, smart sensors, cloud computing, analytics, and smart factories. 

For many companies, the ubiquitous combination of mobile, applications and connectivity generates not just insights, but opportunities to influence outcomes. For businesses that know how to leverage their analytic data, outcomes can be influenced proactively, and not just reactively.

The value of IIoT resides not just in the device, but in the end-to-end solution, the data produced, and the actions taken to generate savings along the firm’s value chain.  IIoT reflects the growing number of smart, connected products producing data that not only generate insights, but also can enable firms’ agility producing desired outcomes.


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Troy Fulton
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Troy Fulton on June 20, 2017
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Topics: Data Acquisition and Analysis, Piezoelectrics


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