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Overview
Viking Analytics helps industrial maintenance teams monitor machine conditions and identify unusual changes in equipment behavior using AI-powered vibration analysis. Although users new to vibration analysis may need time to become familiar with its tools and workflows, its MultiViz platform supports condition monitoring and helps teams analyze equipment data.
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Viking Analytics Specifications
- Dashboards
- Preventive Maintenance
- Equipment Tracking
- Reporting And Analytics
What Is Viking Analytics?
Viking Analytics is a maintenance software for manufacturers and industrial maintenance teams. Its MultiViz 2.0 platform uses AI-powered vibration analysis to monitor machine health and detect unusual changes in equipment behavior. It includes tools for anomaly detection, AI based prioritization, deep signal analysis, and symptom detection. The software works with existing sensor setups and supports over 50 sensor brands. It helps teams review machine condition data and identify equipment that may need further investigation before a system breakdown.
What Is Viking Analytics Best For?
The software is recognized for its AI powered alert prioritization, which helps vibration analytics and maintenance teams focus on the machine issues that need attention first. MultiViz reviews incoming condition data and ranks machine issues based on detected changes and symptoms. This helps analysts see which equipment needs closer review. This is relevant for teams who monitor a large number of machines or sensors, where manual checking every alert can take considerable time.
How Much Does Viking Analytics Cost?
Viking Analytics pricing is estimated to cost around $30–$100/month for each monitored asset, based on industry benchmarks for AI powered vibration analysis and predictive maintenance software.
Apart from the base monitoring costs, businesses should keep the following potential costs in mind:
- Implementation And Onboarding: $1,000–$5,000 one time. Covers asset setup, sensor data configuration, user onboarding, and analyst training
- Sensor And Connectivity Setup: $500–$5,000+. May cover vibration sensors, gateways, wireless connectivity, or additional hardware
- Integration And API Configuration: $1,000–$7,500. May include connections with CMMS, SCADA, data histories, BI tools, and other systems
- Advanced Analytics And Enterprise Support: $2,500–$15,000+/year. Usually includes customized analytics, reporting, dedicated support, or other enterprise equipment
Disclaimer: Pricing references are based on publicly available third-party information and industry benchmarks. Actual costs may vary.
Viking Analytics Integrations
The platform supports connections with different sensor brands and industrial data sources, including:
- Honeywell
- Sensoteq
- Petasense
- Vibe Pro
- Ronds
- Advantech WebAccess/CNC
How Does Viking Analytics Work?
Log in to Viking Analytics to access MultiViz and begin monitoring machine condition and vibration data. The general process includes:
- Connect machine data from supported sensors, gateways, or other compatible data sources
- Review machine conditions and check detected changes, symptoms, and priority indicators
- Analyze vibration data using trends, waveforms, spectra, and other available analysis tools
- Compare measurements and review machine behavior over time to investigate potential issues
- Update machine status and add notes to keep maintenance information organized
- Share findings with maintenance planners, managers, analysts, and relevant team members
Who Is Viking Analytics For?
Viking Analytics software serves organizations that monitor industrial equipment and rely on vibration data to assess machine condition, including:
- Manufacturing plants
- Industrial maintenance teams
- Condition monitoring teams
- Predictive maintenance teams
- Vibration analysts
- Maintenance service providers
- Sensor manufacturers and OEMs
Viking Analytics Use Cases
Based on our review of Viking Analytics features, capabilities, and published customer testimonials, we have identified main scenarios where the platform fits teams that monitor industrial equipment and use vibration data as part of their maintenance work:
Manufacturing Plants Where Unplanned Downtime Has A Direct Production Impact
Manufacturing plants where a machine failure in critical equipment can affect production continuity. Viking Analytics can monitor equipment regularly and flag unusual changes in machine behavior for further review. For example, Södra Värö used Viking Analytics to reduce the number of weekly alarms from about 500 to 20. This gives maintenance teams a way to focus their attention on equipment showing signs of change.
Maintenance Teams Moving Beyond Manual Monitoring
Some maintenance teams still depend heavily on scheduled vibration checks to assess machine conditions. Viking Analytics can collect conditions data continuously through connected sensors, to give teams access to machine information between scheduled inspections. Mälarenergi, for instance, used more than 350 wireless sensors in over 100 machines, and detected a bearing issue on a nearly new machine before it failed, which gave analysts more time for higher value diagnostic work.
Vibration Analysts Managing Large Sensor Network
Reviewing vibration measurements manually becomes hard as the number of monitored assets grow. Viking Analytics can organize incoming condition data and highlight machines that require close analysis. Nicoladides Industrial deployed 160 wireless sensors at a pulp mill in Chile, where the platform helped identify faults in three machines preventing potential stoppages.
Maintenance Service Providers Monitoring Customer Equipment
Service providers that monitor equipment on behalf of multiple industrial customers can use Viking Analytics to manage condition data for different assets. The platform also supports branded reports and customer facing diagnostics, which can fit service businesses that need to present monitoring findings as part of their ongoing maintenance offering. Viking Analytics reports that service teams using its platform have collectively saved thousands of analyst hours.
Sensor Manufacturers And OEMs Adding Condition Monitoring
Sensor manufacturers and OEMs can use Viking Analytics when they want to combine their hardware with vibration analysis data. The platform supports data from multiple sensor brands and can be used with existing monitoring setups. In one CTC related example, the combined setup identified a shaft alignment problem that was causing high vibration and potential coupling damage.
Is Viking Analytics Right For You?
Viking Analytics may be a good option for your team if your team monitors industrial equipment and needs to review vibration data regularly. The platform can support condition monitoring without requiring teams to replace their existing sensor setup.
It may be less suitable for organizations that do not work with industrial machinery or have little experience with vibration analysis. Teams should also consider the setup involved when connecting sensors and other maintenance systems. For organizations handling personal data, Viking Analytics documents GDPR related requirements and security measures, including access controls and data encryption.
Still not sure if Viking Analytics is right for you? Contact our customer support team at (661) 384-7070, who will help you make the best decision.
Viking Analytics Features
AI Prioritization
Instead of requiring analysts to review every monitored asset, Viking Analytics uses AI to rank monitored machines based on detected changes and symptoms. The system considers the number and strength of these signals when assigning priority. Analysts can then start their review with assets that show the most notable changes instead of checking every machine in the same order.
Deep Signal Insights
For closer analysis, the platform lets users review vibration waveform, spectra, and frequency trends. Analysts can compare these signals to examine changes in machine behavior. The available views can also highlight patterns such as rising kurtosis, harmonic changes, and unusual modulation during an investigation.
Self Learning Anomaly Detection
The software learns the normal operating behavior of individual machines and sensors. It then compares new condition data against those patterns to identify unusual behavior. Unlike systems based only on predefined fault libraries, this approach can flag changes even when there is limited historical failure data for a specific asset.
Analyst First Workflow
Viking Analytics keeps analyst input within the monitoring workflow, that keeps expert judgment within the monitoring process. Users can tag patterns, detect anomalies, and add their observations while reviewing machine data. If an alert does not represent an actual issue, analysts can mark it as normal and record a comment, giving the system additional context for future monitoring.
Sensor Agnostic Integrations
Organizations can connect Viking Analytics with more than 50 vibration sensor brands and gateways through MQTT without requiring proprietary hardware. It also supports monitoring setups that include wired, wireless, and IoT sensors. Organizations can connect data from existing equipment instead of building their monitoring environment around a single sensor manufacturer.
Pros And Cons of Viking Analytics
Pros
AI-powered vibration analysis reduces false alarms and helps teams focus on genuine equipment issues
Continuous monitoring detects bearing and alignment issues before scheduled maintenance windows
Self-learning anomaly detection can identify unusual patterns without relying only on predefined fault libraries
Cons
Teams without vibration analysis experience may face some adoption challenges
Connecting existing sensors and maintenance systems can require setup work
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Frequently Asked Questions
What level of support does Viking Analytics offer?
The vendor provides customer support through phone, email, WhatsApp, FAQs, and an online contact form.
Does Viking Analytics offer an API?
Yes, Viking Analytics supports API connections for custom data sources, including cloud-to-cloud integrations, edge gateways, and CSV/JSON imports.
What other apps does Viking Analytics integrate with?
The vendor supports connections with various sensor brands and data sources, including Honeywell, Sensoteq, Petasense, Vibe Pro, Ronds, and Advantech WebAccess/CNC.
What types of pricing plans does Viking Analytics offer?
Viking Analytics price is estimated to start at around $30/month for each monitored asset and may cross $100, based on industry benchmarks for AI-powered vibration analysis and predictive maintenance software. Request a personalized Viking Analytics pricing quote today.
Does Viking Analytics have a mobile app?
No, it does not currently offer a dedicated mobile app. Users, however, can access the platform through a web browser.
Who are the typical users of Viking Analytics?
Viking Analytics is mainly used by manufacturing plants, maintenance teams, vibration analysts, condition monitoring professionals, service providers, sensor manufacturers, and OEMs.
What language does Viking Analytics support?
Viking Analytics software offers support in the English language.