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December 2018

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Effective Machine Guarding Solution
Allis Roller Joins Exclusive World Class Manufacturing Program
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Duplex Milling Machine
Forest City Gear Adds Metal Alloy Analysis to Gear Inspection Capabilities
Germany Chamber of Commerce Organized Visit to HELLER Machine Tools
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Jrlon Inc. Acquires RotaDynes Engineered Products Division
Kapp Technologies Koepfer America and Penta Gear Metrology Collaboration
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Remote Machine Monitoring Solution
Tooling Tech Groups Majestic Industries Received IATF Certification
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MC Machinery Systems Inc. Announces Black Rock Machinery as New Midwestern Laser Distributor
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MicroCare Achieves ISO Certification
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Remote Machine Monitoring Solution



MachineMetrics has released its latest application, MachineMetrics Service. "MachineMetrics Service is the industry's first AI-driven remote machine monitoring solution designed for OEMs and equipment providers; a predictive analytics application on the MachineMetrics Industrial IoT platform that allows service teams to remotely monitor and manage machine assets in the field and at customer sites in real-time," said a company spokesperson.

"Using MachineMetrics Service, equipment manufacturers can transform their approach to service with the ability to see, understand and take action on their customer's real-time machine data from anywhere at any time," added the spokesperson.

"For years now we have been working directly with manufacturers to improve manufacturing equipment uptime, OEE and productivity with real-time machine monitoring and analytics," said Bill Bither, CEO of MachineMetrics. "By allowing machines to be monitored remotely and in real-time, we are enabling OEMs to extend these benefits to their customer base while providing them with faster, better service. Our data science team is working closely with the data to deliver optimized preventative and predictive maintenance specific to their machines to improve machine uptime."

Service managers and technicians can remotely monitor, manage, diagnose and resolve customer's machine issues for any piece of connected equipment in the field and in real-time using MachineMetrics cellular edge device. The historical and real-time machine data collected allows equipment manufacturers to gain insight into customers' equipment health and condition, identify new service opportunities with analytics and reporting, predict and deliver early warning of potential equipment failures, highlight elevated risk areas that lead to machine downtime or even determine to take preventative action before it impacts a customer's machine performance.

How it works: Any equipment provider, OEM or distributor, can install MachineMetrics Edge device on a new machine sold to a customer or retrofit any machine currently in the field. MachineMetrics Edge has the ability to connect to the machine's PLC and any additional sensors into the electrical cabinet of the machine and allows for the data to be shared with the equipment provider. There is no need to install on customer's internal IT infrastructure since MachineMetrics Edge comes with included cellular support. Once installed, the provider can add the device to a list of machine assets accessible via the MachineMetrics Service app and associate that machine with the location of the customer. Once the customer receives the machine and powers it on, that machine will appear active on the provider's list of assets.

Encrypted data is then streamed to the secure MachineMetrics cloud where the data is structured and aggregated to enable visualizations and analytics for service teams to monitor. Access to the historical and real-time data is available through open APIs. Real-time dashboards, historical analysis and integrations with other systems can be built with these APIs.

The MachineMetrics analytics engine will monitor any connected machine's conditions and other manufacturing data points and initiate an action, such as text notifications, when a monitor is triggered by an alarm state, a limit being exceeded or any other anomaly in the machine's health. A rules engine is provided for deploying monitors based on machine condition data, and patent pending advanced machine learning algorithms can be deployed for detecting anomalous behavior.

Using this data, equipment service providers can notify machine operators to change a tool before it breaks or even notify maintenance managers when an anomaly is detected that could lead to a breakdown. "This ability can prevent thousands of dollars of equipment replacement costs and days of downtime, not to mention unearth new service opportunities that were never visible to service teams before," said the spokesperson.

Data from thousands of connected machines allow the MachineMetrics Data Science team to work with service teams to identify trends and develop standard preventative maintenance and repair schedules that benefit both the service team and the customers.

For more information contact:

MachineMetrics

5 Strong Avenue

Northampton, MA 01060

413-341-5747

info@machinemetrics.com

www.machinemetrics.com

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