Drive Reliability Improvements from the Edge to the Enterprise

by , , | Mar 5, 2025 | Reliability | 0 comments

I came across this whitepaper, From Edge to Enterprise – AspenTech and Emerson’s Comprehensive Reliability Solution, written by AspenTech’s Robert Macaulay and Emerson’s Marcelo Carugo.

Whitepaper: From Edge to Enterprise - AspenTech and Emerson’s Comprehensive Reliability SolutionIt shares how AspenTech and Emerson have partnered to create the first fully integrated, native reliability solution for the manufacturing, production, and process industries. The solution incorporates Emerson’s AMS platform’s sensor instrumentation and wireless monitoring with AspenTech’s AI & machine learning advanced analytics solution.

Manufacturers and producers are challenged to drive top quartile performance in reliability.

As pressure increases for companies to invest in digital transformations and implement industry 4.0 practices to keep up with competitors and improve key performance indicators, a need has arisen for an integrated solution that combines traditional reliability solutions like vibration analysis, with prescriptive maintenance solutions that use advanced pattern recognition to detect and diagnose failures and anomalies early. AspenTech and Emerson have partnered to create the first fully integrated, native reliability solution for the manufacturing, production, and process industries.

Several industry trends are driving the need for change. These include:

  • Increasing Complexity of Products
  • Growing Emphasis on IoT and Connected Devices
  • Shift towards Proactive and Predictive Maintenance

To address these trends, these manufacturers and producers face hurdles, including:

  • Data Management and Integration
  • Legacy Systems and Interoperability (point solutions)
  • Skill Gaps and Workforce Training
  • Cost and Return on Investment

Combining AspenTech’s Mtell software with Emerson’s AMS platform provides a comprehensive solution for optimizing the performance and reliability of industrial assets. AspenTech’s Mtell software solution specializes in predictive and prescriptive maintenance using advanced pattern recognition and machine learning. It can analyze historical data, real-time sensor data, and other asset-related information to predict equipment failures and degradation.

The AMS platform is known for its comprehensive asset management capabilities. This software specializes in device management, such as sensor calibration and documentation, as well as advanced vibration analysis techniques that use spectral waveform data and time series data to analyze equipment for failures and other defects. When integrated with Mtell, it can provide a holistic view of an organization’s asset health, enabling better decision-making regarding maintenance, repair, and replacement.

Download the whitepaper to learn more about your path forward to plan, implement, and manage the change from digitally transforming your reliability practices.

Visit the AspenTech and Emerson section on Emerson.com for solutions from edge to enterprise – sensor to boardroom, across the lifecycle of a facility – from conceptualization through operations and maintenance.

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The opinions expressed here are the personal opinions of the authors. Content published here is not read or approved by Emerson before it is posted and does not necessarily represent the views and opinions of Emerson.

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