“Supercharge predictive analytics applications with high-frequency machine data to diagnose, predict and avoid failures in machine parts.”
Connect Machines Easily
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 to stop problems before they get initiated.
Connect Machines Easily
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 to stop problems before they get initiated.
CURRENT
CHALLENGE
Messy and tedious activity to acquire, understand and clean data for analysis. Breakage of parts can be costly. However, often those parts end up getting scrapped. Subtle anomalies in machine load, torque, acceleration, and speed can cause irreparable damage to parts. All of this costs time and money.
CURRENT
CHALLENGE
Messy and tedious activity to acquire, understand and clean data for analysis. Breakage of parts can be costly. However, often those parts end up getting scrapped. Subtle anomalies in machine load, torque, acceleration, and speed can cause irreparable damage to parts. All of this costs time and money.
Predict Problems Before Downtime
Collect and put to use real-time high-frequency machine data to diagnose and predict various types of failures to stop them from occurring.
SOLUTION
OFFERED
SOLUTION
OFFERED
Predict Problems Before Downtime
Collect and put to use real-time high-frequency machine data to diagnose and predict various types of failures to stop them from occurring.
Out-Of-The-Box
Industrial IoT (IIOT) Platform For Machines
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MachineWiz has connected to thousands of different types of machines, enabling data scientists to build algorithms that can predict quality defects and extend machine life.
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Machine operators label data using the (machine) operator/s interface when failures or quality defects occur.
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ML/AI algorithms detect patterns from the hundreds of data items collected from each machine.
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Detect problems before they occur.
Machine Parts Failure Prediction
• Detect initial stress fractures occurring in machine parts.
• Alert the (machine) operator/s to act before breakdown.
Optimized Machine Usage
• Early detection of wear and tear.
• Allowing run, the machine to full life.
Quality Issue Alerting
• Compromised quality does not get the job right.
• Reduce quality with machine function abnormality detection.
Machine Parts Failure Prediction
• Detect initial stress fractures occurring in machine parts.
• Alert the (machine) operator/s to act before breakdown.
Optimized Machine Usage
• Early detection of wear and tear.
• Allowing run, the machine to full life.
Quality Issue Alerting
• Compromised quality does not get the job right.
• Reduce quality with machine function abnormality detection.
Use Of High-Frequency Machine Data At Scale
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Accelerate the data science team’s predictive analytics.
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Immediately usable data as input to time-series or machine-learning models.
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Use tools such as Python to develop algorithms that detect these failures.
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Deploy and manage your custom algorithms to analyze data.
-
Send alerts to concerned people and stop machines prior to equipment failure.
Use of High-Frequency Machine Data at Scale
-
Accelerate the data science team’s predictive analytics.
-
Immediately usable data as input to time-series or machine-learning models.
-
Use tools such as Python to develop algorithms that detect these failures.
-
Deploy and manage your custom algorithms to analyze data.
-
Send alerts to concerned people and stop machines prior to equipment failure.
Build Your Own Algorithms
• Leverage high-frequency data directly from the machine.
• Use this data as input to time-series or machine-learning models.
Deployment
• Deploy and manage custom algorithms to MachineWiz Edge devices.
• Process and analyze the source to detect potential failures.
Automate Solutions
• Algorithms are triggered to deliver (machine) operator actions vide alerts/notifications to concerned people.
• Automate a feed-hold that stops machines prior to equipment failure.
Build Your Own Algorithms
• Leverage high-frequency data directly from the machine.
• Use this data as input to time-series or machine-learning models.
Deployment
• Deploy and manage custom algorithms to MachineWiz Edge devices.
• Process and analyze the source to detect potential failures.
Automate Solutions
• Algorithms are triggered to deliver (machine) operator actions vide alerts/notifications to concerned people.
• Automate a feed-hold that stops machines prior to equipment failure.