Identify Variance within Your Machine
...and many more
Sigma Additive Solutions is Trusted by Industry Leaders
About The Machine Health Module
Machine Health utilizes built-in sensors to monitor the performance of production fleet machines. Simple thresholding, standard WACO Run Rules, and advanced statistical analysis are employed to understand and track variance throughout production. Machine Health identifies sudden changes, steady trends, and non-conformance of key parameters of the machine environment; a minimal requirement for quality.
Standardization is core to Machine Health. Unifying units and terminology across machine makes and models allows users to understand variance within a build, across machines, and throughout production runs. This standardization means a single interface for build evaluation, removing multiple softwares and cumbersome spreadsheets previously required to complete qualification.
- Accept and chart log files from all OEMs
- Standardize units and terminology across OEMs
- Real-time monitoring and automated detection
- Customized alerting criteria for each sensing type
- Comprehensive reporting and data-driven insights into production processes
- Enhance confidence via sensor fusion with additional PrintRite Modules
Import and analyze machine logs agnostic to machine type.
Accepts: live stream via OPC UA, csv, txt, zip, xlsx …
Monitor Print Quality and Accelerate Validation
Improve Quality Control
Upgrade QA and reduce waste with real-time monitoring and automated defect detection.
Save Time and Money
Reduce reliance on manual inspections and increase efficiency in the production process.
Seamlessly integrate with existing hardware and customize alerting criteria for each defect type.
Gain comprehensive insights into production processes and optimize them for maximum performance.
Optimize additive manufacturing operations with standardized, data-driven insights for improved machine performance and quality assurance.
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Let’s discuss how PrintRite3D quality assurance can benefit your operations.
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