Manufacturing

Predictive Maintenance of Equipment with RapidCanvas AutoAI

Improve reliability in manufacturing by leveraging AutoAI-enabled predictive maintenance to minimize downtime and extend the useful life of your equipment.

Overcoming Equipment Failures and Downtime with AI

Manufacturers face unplanned downtime due to equipment failures that disrupts production schedules, decreases output, and drives up maintenance costs.
Equipment Downtime Leading to Production Losses
With reactive maintenance, equipment failures happen unexpectedly causing unplanned downtime and production losses.
Inefficient Maintenance Schedules
Manual scheduling of maintenance based on arbitrary time intervals is suboptimal. Needed maintenance is often missed while some unnecessary maintenance is carried out.
High Maintenance Costs
Reactive maintenance practices like time-based maintenance or run-to-failure maintenance leads to higher costs due to unplanned downtime and repeated repairs.
Unplanned Maintenance
Reactive maintenance means acting only when something breaks down. This leads to unplanned maintenance which disrupts production schedules.
Difficulty Detecting Root Causes
Determining the root causes of equipment failures requires extensive manual effort and expert experience.

Easily Build and Deploy AI for Predictive Maintenance

With AI, RapidCanvas makes it possible to predict failures before they occur and switch to proactive maintenance

Data Collection

Sensor data from industrial equipment is continuously collected and stored. This includes temperature, pressure, vibration, current etc.
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Data Processing

The raw sensor data is cleaned and processed into a usable format. Issues like missing data and outliers are handled.
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Train ML Models

Supervised and unsupervised ML algorithms are trained on the processed data to detect patterns and anomalies.
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Model Deployment

The trained models are deployed on the edge or cloud infrastructure to monitor equipment in real-time.
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Monitoring and Alerts

Models generate alerts for potential failures so issues can be addressed before downtime.
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Continuous Improvement

Models are retrained as new data comes in to improve accuracy over time.
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Advantages with RapidCanvas AI-enabled Predictive Maintenance

Reduced Downtime
AI predictive capabilities forecast failures well in advance so issues can be addressed before downtime occurs.
Lower Maintenance Costs
The ability to avoid unplanned downtime and failures reduces maintenance costs significantly.
Improved Lifespan
Asset lifespans are extended since potential issues are identified early before major damages occur.
Fewer Unplanned Outages
Unplanned outages are minimized as most equipment failures are predicted before they manifest.

Key Industry Metrics

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Hear from Our  Customers

“RapidCanvas has helped us realize our vision of integrating AI into our demand prediction and inventory management processes. The transition from spreadsheet-based models to RapidCanvas's sophisticated AI model has been a game-changer. We've seen a 35% improvement in operational efficiency and a 50% reduction in time spent on manual adjustments.
Arthur Strommer
Vice President, MTE-THOMSON

Overcoming Equipment Failures and Downtime with AI

Equipment Downtime Leading to Production Losses
Inefficient Maintenance Schedules
High Maintenance Costs
Unplanned Maintenance
Difficulty Detecting Root Causes
Equipment Downtime Leading to Production Losses - Predictive maintenance of equipment
Inefficient Maintenance Schedules - Predictive maintenance of equipment
High Maintenance Costs - Predictive maintenance of equipment
Unplanned Maintenance - Predictive maintenance of equipment
Difficulty Detecting Root Causes - Predictive maintenance of equipment
Equipment Downtime Leading to Production Losses - Predictive maintenance of equipment
Inefficient Maintenance Schedules - Predictive maintenance of equipment
High Maintenance Costs - Predictive maintenance of equipment
Unplanned Maintenance - Predictive maintenance of equipment
Difficulty Detecting Root Causes - Predictive maintenance of equipment
Equipment Downtime Leading to Production Losses - Predictive maintenance of equipment
Inefficient Maintenance Schedules - Predictive maintenance of equipment
High Maintenance Costs - Predictive maintenance of equipment
Unplanned Maintenance - Predictive maintenance of equipment
Difficulty Detecting Root Causes - Predictive maintenance of equipment
Equipment Downtime Leading to Production Losses - Predictive maintenance of equipment
Inefficient Maintenance Schedules - Predictive maintenance of equipment
High Maintenance Costs - Predictive maintenance of equipment
Unplanned Maintenance - Predictive maintenance of equipment
Difficulty Detecting Root Causes - Predictive maintenance of equipment
Equipment Downtime Leading to Production Losses - Predictive maintenance of equipment
Inefficient Maintenance Schedules - Predictive maintenance of equipment
High Maintenance Costs - Predictive maintenance of equipment
Unplanned Maintenance - Predictive maintenance of equipment
Difficulty Detecting Root Causes - Predictive maintenance of equipment

Why customers choose RapidCanvas for predictive maintenance of equipment

See Rapid Time-To-Value
Address unique business needs without starting from scratch; state your business problem and the AutoAI discovery process will generate a matching AI solution within hours.
Build Expert-Led AI
Leverage the industry knowledge of data science experts, as required, to validate against industry benchmarks and ensure optimal AI solution performance
Access Actionable Business Insights
Create visual, interactive data apps, dashboards and reports to showcase business KPIs and outcomes, and monitor business performance
Use An End-To-End AI Solution
Achieve an end-to-end AI solution with an out-of-the-box setup for all steps from data orchestration, data preparation, transformations, model building and testing, through to model deployment and data apps