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What is System 1?

System 1 serves as a comprehensive platform dedicated to the monitoring and diagnosis of conditions, aiming to enhance the reliability and performance of industrial machinery. By assimilating data from various sources, including vibration analysis, process controls, and operational metrics, it provides a holistic view of asset health. The platform easily integrates with edge data sources, gathering high-resolution information on vibrations and processes at intervals of up to one second. It supports industry-standard protocols like OPC UA, making data export straightforward and ensuring compatibility with existing systems. Moreover, System 1 includes customizable alarm settings and decision support tools, enabling users to formulate specific rules that yield deeper insights into machine efficiency and process parameters. This proactive approach is crucial for detecting potential issues before they escalate into failures. Additionally, the software incorporates a user-friendly Human-Machine Interface (HMI) builder that graphically represents plant assets, using color-coded indicators to effectively communicate machine health. Consequently, operators are empowered to make well-informed decisions based on real-time insights and data analytics. This capability not only streamlines operations but also enhances overall productivity within the industrial environment.

What is SmartCBM?

SmartCBM, created by Allied Reliability, is an all-encompassing solution for condition-based maintenance that focuses on detecting potential component failures, which can lead to unanticipated operational interruptions or high costs. Utilizing cutting-edge predictive maintenance technologies alongside process data, statistical process control, and sophisticated data analytics, SmartCBM supports the design, execution, and optimization of maintenance strategies, significantly boosting the reliability and operational uptime of machinery. The platform is designed to incorporate a wide range of data collection methods, including manual routes, sensor inputs, inline monitoring, and wireless periodic assessments, offering a well-rounded and cost-effective approach customized to the unique requirements of each asset. Additionally, SmartCBM features a selection of proprietary tools for comprehensive monitoring and reporting of asset conditions, enabling the development of maintenance strategies that effectively tackle design-failure modes, thereby enhancing both equipment reliability and availability. Its adaptability and efficiency render it a vital resource for organizations aiming to refine their maintenance practices and mitigate operational risks. In an era where machine reliability is critical, SmartCBM stands out as a forward-thinking solution that not only addresses current challenges but also prepares organizations for future demands in maintenance management.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$5,000 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Baker Hughes

Company Location

United States

Company Website

www.bakerhughes.com/bently-nevada/system-1-condition-monitoring-software

Company Facts

Organization Name

Allied Reliability

Date Founded

1997

Company Location

United States

Company Website

www.alliedreliability.com/smartcbm-condition-monitoring

Categories and Features

Categories and Features

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