• Skip to main content
  • Skip to header right navigation
  • Skip to site footer

+1-410-472-2900

  • ABOUT
    • SUSTAINABILITY
  • CAREERS
    • ESOP
    • EMPLOYEE BENEFITS
  • OEM PARTNERS
  • SUPPLIERS
  • Facebook
  • Twitter
  • LinkedIn
  • YouTube

SUN Automation Group®

SUN Automation Group®

Everything Corrugated Under SUN

  • HOME
  • SOLUTIONS
    • FEEDING
      • Exact-O-Feed® Lead Edge Feeder for Platen Die Cutters
      • Extend-O-Feed® Lead Edge Feeder for RDC & FFG
      • EZ-COVER Feed Roll Covers
      • BACKSTOP TABLE
    • PRINTING
      • Spectrum® Corrugated Inside & Outside Print
      • Electra-Flow™ Electric Ink Pump
      • ColorMaster® Single Blade Ink System
      • AccuPrint™ Dual Blade Chambered Ink System
      • SunTrac® Vacuum Transfer System
      • Digital Harmonic Register
      • Dwell Unit
      • Domino X630i
    • CONVERTING
      • SUN625HD® Heavy-Duty Rotary Die Cutter
      • Latitude Machinery Corp – FFG & RDC
        • PP-SERIES
        • P-SERIES 66″
        • P-SERIES JUMBO
      • PARA Srl
        • Pallet Inserter
        • PARA Crab System
        • Vertical Work-In-Progress
        • Vacuum Overhead Stacker
        • Pre-Feeder
        • Eleva Palletizer
      • Kolbus
        • BX Motion Pro
        • Kolbus RDG Performance Series 115
        • Kolbus RDS Graphics Series 115
      • Versor Engineering
      • Highcon – Corrugated Packaging Solutions
      • MicroGrind® Anvil Trimmer
    • TECHNOLOGY
      • Helios Corrugated IIOT Platform
      • eProductivity Software
      • SunSet® 3.0 Computer Control System
    • RETROFITS & UPGRADES
      • Machine Rebuilds
  • PARTS & SERVICE
    • PARTS
    • SERVICES
  • RESOURCES
    • NEWS
    • BLOG
    • BROCHURES
    • CASE STUDIES
    • VIDEOS
    • EVENTS
    • WEBINARS
  • CONTACT
    • SALES DIRECTORY
  • REQUEST A QUOTE
  • HOME
  • SOLUTIONS
    • FEEDING
      • Exact-O-Feed® Lead Edge Feeder for Platen Die Cutters
      • Extend-O-Feed® Lead Edge Feeder for RDC & FFG
      • EZ-COVER Feed Roll Covers
      • BACKSTOP TABLE
    • PRINTING
      • Spectrum® Corrugated Inside & Outside Print
      • Electra-Flow™ Electric Ink Pump
      • ColorMaster® Single Blade Ink System
      • AccuPrint™ Dual Blade Chambered Ink System
      • SunTrac® Vacuum Transfer System
      • Digital Harmonic Register
      • Dwell Unit
      • Domino X630i
    • CONVERTING
      • SUN625HD® Heavy-Duty Rotary Die Cutter
      • Latitude Machinery Corp – FFG & RDC
        • PP-SERIES
        • P-SERIES 66″
        • P-SERIES JUMBO
      • PARA Srl
        • Pallet Inserter
        • PARA Crab System
        • Vertical Work-In-Progress
        • Vacuum Overhead Stacker
        • Pre-Feeder
        • Eleva Palletizer
      • Kolbus
        • BX Motion Pro
        • Kolbus RDG Performance Series 115
        • Kolbus RDS Graphics Series 115
      • Versor Engineering
      • Highcon – Corrugated Packaging Solutions
      • MicroGrind® Anvil Trimmer
    • TECHNOLOGY
      • Helios Corrugated IIOT Platform
      • eProductivity Software
      • SunSet® 3.0 Computer Control System
    • RETROFITS & UPGRADES
      • Machine Rebuilds
  • PARTS & SERVICE
    • PARTS
    • SERVICES
  • RESOURCES
    • NEWS
    • BLOG
    • BROCHURES
    • CASE STUDIES
    • VIDEOS
    • EVENTS
    • WEBINARS
  • CONTACT
    • SALES DIRECTORY
  • REQUEST A QUOTE
  • ABOUT
    • SUSTAINABILITY
  • CAREERS
    • ESOP
    • EMPLOYEE BENEFITS
  • OEM PARTNERS
  • SUPPLIERS

Helios’ New Failure Prediction Capabilities

September 22, 2022

There’s nothing worse than playing catch-up after something goes wrong unexpectedly. Unplanned downtime costs industrial manufacturers an estimated $50 billion per year, and the problem is particularly urgent in the corrugated business, where producers are pushing equipment to their limits to meet increased demand.

Helios’ new failure prediction capabilities allow you to predict machine performance in real time.

There’s nothing worse than playing catch-up after something goes wrong unexpectedly. Unplanned downtime costs industrial manufacturers an estimated $50 billion per year, and the problem is particularly urgent in the corrugated business, where producers are pushing equipment to their limits to meet increased demand.

Fortunately, Helios’ new failure prediction capabilities offer corrugated manufacturers the ability to not only monitor machine performance in real time, but to view an ongoing assessment of the likelihood of failure or interruption within a 30-minute window. This new machine learning algorithm provides operators with actionable insight into the well-being of their equipment that can help them forecast future problems and reroute production to prioritize critical projects and avoid delays.

A revolution in predictive analytics

Helios is a machine-learning IIoT (Industrial Internet of Things) platform that provides critical insight into corrugated machine performance. Our algorithms are OEM-agnostic and can be seamlessly retrofitted to existing equipment. Customers who subscribe to the full suite of advanced machine learning features now have access to something new: advanced predictive analytics with real time prediction of component failures and required maintenance.

This new feature harnesses current sensor information along with historical downtime data in order to provide not just an up-to-date picture of the state of your equipment, but actionable information about future functioning so operators can make proactive decisions about their machines. The algorithms are no longer simply providing diagnostic information about past machine performance: they’re providing a picture of ongoing and future performance, legibly displayed through dials and gauges. An initial case study found that 74% of machine breakdowns were accurately forecasted within a 30-minute window using this new technology.

This gives operators the chance to make decisions in advance before a possible interruption occurs. With just a 20% reduction in downtime, the average box plant can expect to save $122,000 per year per machine. If a machine is operating at high risk of failure, operators can stop it in advance to investigate the cause before a disruption. Managers can also reroute work ahead of time for high priority projects or alter production schedules accordingly to avoid a break-down. This information empowers plant leadership to make better decisions about the reliability and efficiency of their equipment.

Harnessing real time and historical data

The ability to provide these kinds of advanced predictions was previously only theoretical. But now these machine learning models are fully operational and live on the platform for select Helios customers. Early adopters of this powerful new technology are already reducing maintenance costs by 30% and eliminating equipment breakdowns by 70%.

In order to generate these predictive models, Helios needs two distinct sets of data. The first is the ongoing raw information provided by sensors on the equipment as it’s operating. The second is historical downtime data, listing the start and end times of previous unplanned disruptions along with explanations and descriptions of the problems that were encountered.

Ideally there should be at least eight to twelve weeks’ worth of data for the machine learning to function optimally. Helios’ data scientists work with customers to input this information in order to get the predictive algorithm fully operational. And once the systems are in place, the predictive power of Helios’ machine learning only gets more refined.

While the initial study predicted 74% of machine breakdowns, that number is only a starting point: it will improve as Helios’ algorithms gather more information about ongoing machine performance, providing operators with increasingly sophisticated forecasts within a 15 minute window. Over time, these progressive solutions allow for increasingly accurate downtime predictions, more advanced warning, and in turn, improve uptime and ROI.

Helios has changed the game

The rise of e-commerce has brought rapid growth to the corrugated industry, and increased demand means it’s more important than ever to make sure equipment is operating as efficiently as possible. But optimizing machine performance is a delicate balancing act coordinating dozens of different machines, each with its own output rates and maintenance schedules. Historically the industry has relied on the knowledge and experience of a generation of operators, many of whom are now retiring – and a skills gap has meant that there are fewer people to take their place.

Consequently it’s more important than ever to leverage IIoT solutions to harness the power of information. Machine learning is revolutionizing how box plants understand, predict, and maintain their corrugated converting equipment, and Helios’ new failure prediction capabilities place it at the forefront of the industry.

Category: Blog, IIoT, Learn
Previous Post:Mitigating Risk, Investing in Our Future
Next Post:SUN Automation Group Welcomes Two New Members to the Senior Leadership TeamAaron Schlothauer, VP of Engineering (Left) and Gokul Gopakumar, VP of Technology and Business Development (Right)

Sidebar

Upcoming Events

Oct 20
October 20 - October 22

CorrExpo

View Calendar

Latest News

Sun Automation Group Expands Expertise with Key Industry Hires Following Executed Agreement with Kolbus

March 26, 2025

Proven Performance: Paige Company Embraces Innovation

March 7, 2025

SUN Automation Group Expands Corrugated Offerings Through Strategic Partnership with Kolbus Group

February 24, 2025

SUN Automation Group®

REQUEST A QUOTE
REQUEST PARTS
REQUEST SERVICE
  • Facebook
  • Twitter
  • LinkedIn
  • YouTube

Phone +1 (410) 472-2900

Email [email protected]

Global Solutions for Modern and Legacy Equipment for Converting Corrugated Board

Copyright © 2025 · All Rights Reserved – 100% Employee Owned

Privacy Policy

Manage Consent

We use cookies to improve your experience and analyze website traffic. By clicking ‘Accept’, you consent to our use of cookies. You can manage your preferences below.

Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
Manage options Manage services Manage {vendor_count} vendors Read more about these purposes
View preferences
{title} {title} {title}
Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
Manage options Manage services Manage {vendor_count} vendors Read more about these purposes
View preferences
{title} {title} {title}