PREDICTIVE MAINTENANCE: MEET YOUR NEW BEST FRIEND.

Supercharge your predictive analytics applications with high-frequency machine data to diagnose, predict, and avoid failures on your manufacturing equipment. No sensors required.

mm20-laptop_0030_Marox_Timeline_dropshadow

EASILY CONNECT MACHINES

Connect, collect, & visualize high-frequency data from shop floor equipment.

PREDICT MACHINE PROBLEMS

Leverage transformed data to immediately build predictive algorithms and workflows.

DEPLOY SOLUTIONS QUICKLY

Deliver out-of the box or custom apps on the Edge to stop problems before they start.

Book A Demo

UNPLANNED DOWNTIME IS SERIOUSLY EXPENSIVE.

THE PROBLEM

It is a messy, tedious activity to acquire, parse, and clean data for analysis in a factory. When tools break, it can be costly. A tool can become damaged yet still make parts that seem to spec, but those parts end up often getting scrapped. Subtle anomalies in machine load, torque, acceleration, and spindle speed can cause parts to be made outside of required tolerances. All of this costs you time and money.

PREDICT PROBLEMS—BEFORE THEY CAUSE DOWNTIME.

THE SOLUTION

Collect and harness high-frequency machine data in real-time to diagnose and predict various types of failures so your team can stop them from happening in the first place.

OUT-OF-THE-BOX

INDUSTRIAL IOT PLATFORM FOR MACHINES

MachineMetrics has connected to thousands of machine tools, enabling our data scientists to build algorithms that can predict quality defects and extend tool life. Machine tool operators label data using the operator interface when tool failures or quality defects occur. Our ML/AI Algorithms detect patterns from the hundreds of data items collected from each machine that can detect these problems before they occur again and stop the machine before failure occurs.

PREDICT TOOL FAILURE

Detect when initial stress fractures are occurring in tools, and alert the operator to take them out of commission before they fail or break.

OPTIMIZE TOOL USAGE

An increase in tool wear due to differences in material, environment, and cutting can be detected, allowing you to run your tools to full life every time.

QUALITY ISSUE ALERTING

When tools are compromised, they don’t do their job right. Reduce bad finishes and incomplete cuts with tool chatter detection.

website_work_model.435-retouch_dropshadow

BUILD YOUR OWN

USE HIGH-FREQUENCY MACHINE DATA AT SCALE

Accelerate your data science team’s predictive analytics with data immediately usable as inputs to time-series or machine learning models. Use tools such as Spark, R, and Python to develop algorithms that detect these failures. Deploy and manage your custom algorithms to analyze data at the edge that send alerts to factory workers or stop machines prior to equipment failure.

BUILD YOUR OWN ALGORITHMS

Leverage high-frequency data directly from the machine control or from sensor data. Use this data as inputs to time-series or machine learning models.

DEPLOY AT THE EDGE

Deploy and manage custom algorithms to MachineMetrics Edge devices that process and analyze at the source to detect potential failures.

AUTOMATE SOLUTIONS

When an algorithm is triggered, deliver operator actions via alerts/notifications to factory workers or automate a feed-hold that stops machines prior to equipment failure.

THE MACHINEMETRICS DIFFERENCE.

QUICK TO DEPLOY

Plug-and-play, simple to use, and easy to scale.

DATA IS INSTANTLY USABLE

Eliminates time-consuming data tag mapping.

DRIVE IMMEDIATE VALUE

Out-of-the-box apps with no initial development required.

CONNECTS TO EVERYTHING

Easily integrates machine data across your digital factory.

DEEP MANUFACTURING VERTICAL EXPERTISE

Provides necessary context to enable data actionability.

“OUR SCRAP RATE REDUCED CONSIDERABLY”

Bob Merrill, Owner at BC Machining

Leveraging high-frequency data on spindle load to determine when the tools will fail, BC Machining can now detect a tool failure with 99% confidence up to 40 minutes before it fails. Download the case study