Lou Zhang, Lead Data Scientist, Machine Metrics
Lou has extensive experience with both the manufacturing industry and with developing predictive algorithms for time-series data. Prior to MachineMetrics, Lou conducted research with NIST.
MachineMetrics Announces $11.3 Million Series A Funding Round
MachineMetrics, which equips factories with the digital tools needed to increase productivity and win more business, announced this week it has raised $11.3 million in Series A financing. Tola Capital led…
Elevating OT Security: Insights on Metrics, Management, and Innovation
This dialogue with Terence Liu, the CEO of TXOne Networks, during the S4x24, highlights the unique challenges that OT systems face compared to IT systems and underscores the necessity for…
The Role of Machine Data in Quoting
Quoting software is a step in the right direction when it comes to automating the quoting process, but it will only take you so far. So what’s the missing link…
Manufacturing Metrics Identified – A Case Study
Mayville Engineering Company (MEC) is a leading U.S.-based contract manufacturer that provides a broad range of prototyping and tooling, production fabrication, coating, assembly and aftermarket services, with a total of…
[Use case] Improved machine performance using moneo Real-time Monitoring System
A large manufacturer with assembly and sub-assemblies mass produces automotive parts and components. A plant of this magnitude requires equipment, such as motors, pumps, compressors, fans, vibratory feeders, and other…
Utilizing Machine Data to Avoid Failures
Predictive machining can be a complex subject, with most manufacturers assuming such use cases are far beyond their means, meant only for the future of manufacturing. The Data Science team…
Smart Manufacturing: A Machine Monitoring Success Story
When pen-and-paper methods of tracking job efficiency left AccuRounds’ engineers and managers in the dark, the shop switched machine monitoring system. However, this brought morale challenges along with it. The…
How machine builders & OEMs can deliver IIoT value-added services to manufacturers
It’s estimated that IoT applications in operations optimisation have the potential to create value of $1.2 to $3.7 trillion per year in the factory setting in 2025. Manufacturers and equipment builders are…
The Basics Behind Building Machine Learning Solutions
Machine Learning Requires a Systematic Approach to Systems, Architecture, and data. Developing Machine Learning analytics yields immediate and long-term benefits. 1. Make Machine Learning Part of a Modernization Strategy After decades in…
Breaking down business risks through machine health visibility
When it comes to managing risk in an industrial business, many consider damage through natural disasters and fire or explosions to be of great concern, because they can cost a…