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What is aspenONE Asset Performance Management (APM)?

Stay ahead of potential failures by receiving timely alerts weeks or even months in advance through the use of real-time data and predictive analytics. Adopt a comprehensive strategy that incorporates prescriptive maintenance, root cause analysis, and RAM analysis to address issues at multiple tiers, such as equipment, processes, and systems. Seamlessly deploy automated Asset Performance Management solutions using advanced machine learning methods that require minimal intervention, allowing for the anticipation of asset failures and the reduction of downtime throughout the entire facility, across different systems, or across various locations. This forward-thinking approach not only improves operational effectiveness but also leads to a substantial increase in overall productivity, fostering a culture of continuous improvement within the organization. By leveraging these advanced techniques, companies can ensure sustained performance and reliability in their operations.

What is DC-E DigitalClone for Engineering?

DigitalClone® for Engineering stands out as the sole software that seamlessly combines various scales of analysis within a unified platform. Recognized globally as the premier tool for predicting gearbox reliability, DC-E excels not only in its modeling and analysis capabilities specific to gearboxes and gear/bearing interactions but also uniquely incorporates fatigue life modeling through advanced, physics-based methodologies (US Patent 10474772B2). By enabling the creation of a digital twin for gearboxes, DC-E encompasses every phase of an asset's lifecycle—from the optimization of design and manufacturing processes to the selection of suppliers, followed by thorough root cause analysis of failures and condition-based maintenance along with prognostics. This innovative computational environment significantly decreases both the time and costs associated with launching new designs and ensuring their long-term maintenance, ultimately enhancing operational efficiency. Moreover, it empowers engineers to make informed decisions at every stage, leading to improved performance and reliability.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Upon request
Depending on AWS based non-government and government operations
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Aspen Technology

Date Founded

1981

Company Location

United States

Company Website

www.aspentech.com/en/products/apm/asset-performance-management

Company Facts

Organization Name

Sentient Science Corporation

Date Founded

2001

Company Location

United States

Company Website

sentientscience.com

Categories and Features

Categories and Features

Digital Twin

Not specified

Engineering

2D Drawing
3D Modeling
Design Analysis
Mechanical Engineering

Root Cause Analysis

Not specified

Simulation

Not specified

Statistical Analysis

Statistical Process Control
Statistical Simulation

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