PL EN
Predictive Maintenance

Our approach to data analysis

Reliability-Solutions
Processor

Data collected through thousands of already installed or new sensors, condition monitoring solutions and IT/OT systems

Brain

Our advanced AI methods recognize patterns indicating oncoming failures, their causes, processes anomalies, and inefficient operations

Maintenance

Clear insights into machinery operations, services, logistics, design, market demand enabling multi-criteria optimization

Processor

Our solutions unlock unprecedented efficiencies with impact on the bottom line

The biggest advantage of our platform
is the proprietary analytical engine

Reliability-Solutions

The methodology developed by us for the automatic generation of AI models enables implementation of the Predictive and Prescriptive Maintenance approaches 2x faster than competitors and gives the analytical accuracy > 96%

Data

Input data

  • proces data (SCADA/DSC)
  • operating data (CMMS)
  • economic data (ERP)
  • Condition Monitoring
  • environment data
  • PI System, MS Azure
  • expert knowledge
Investigate

Data preprocessing
module

  • data validation
  • missing data imputation
  • feature selection
  • time-series data extraction
  • data transformation
Model

Models generation
module

  • methods customization (Predictive/Prescriptive Maintenance)
  • a large range of machine learning methods
  • proprietary DL topologies
  • self-learning models
Brain

Optimization module

  • meta-modeling of the process or installations
  • virtual sensors
  • multi-criteria optimization algorithms

Discover the functionalities of our platform

Reliability-Solutions

The functionalities of our platform will let you solve many important problems of your
company and optimize its operation, maximizing profits

Plug In

Root cause
analysis

Ability to identify causation within the data

  • Mixture of domain know-how with data science
  • Good insight and hints for operators or designers
  • Ability to consider full huge datasets (thousands of sensors)
  • Determining and validating rules undetectable manually
  • Proprietary data pre-processing techniques
  • Associations rules determining
  • Basket analysis
Accuracy

Remaining useful
life estimation

Long-term service planning

  • Combines both pure statistics and Predictive Maintenance advantages
  • Adjusts its output by the current sensor information
  • Returns the estimated lifetime of a machine
  • Accuracy increased over time
Scalability

Anomaly
detection

Full control over process stability

  • Proprietary self-learning, unsupervised algorithms, including Deep Learning
  • Gives valuable information about what signals generate the failure
  • Does not require any additional information or historical data
  • Detects any new events within the monitored machinery
Business-model

Predictive
Maintenance

Predict and react

  • Proprietary data preprocessing and models generation modules
  • Fully scalable, automated models generation and recalibration
  • Self-learning mechanisms
  • Holistic approach - analyzing all the available data (for problems propagating through the installation)
  • Predicting unwanted events for crucial machinery
Business-model

Prescriptive
Maintenance

Support decision making

  • Usage of PdM models for process steering to avoid unwanted events (e.g. failures)
  • Holistic approach guarantees high accuracy and reliability of models
  • Decision support system
  • Closed-loop solution
Business-model

Process
optimization

Increase profits, minimize expenses

  • Including machinery condition, current market state, contract penalties, etc.
  • Using metamodels for simulations of process to find the optimal steering
  • Using proprietary optimization mechanisms (versions of PSO)
  • Maximizing overall profits

Ability to identify causation within the data

  • - Mixture of domain know-how with data science
  • - Good insight and hints for operators or designers
  • - Ability to consider full huge datasets (thousands of sensors)
  • - Determining and validating rules undetectable manually
  • - Proprietary data pre-processing techniques
  • - Associations rules determining
  • - Basket analysis
Technology

Features of our platform

Reliability-Solutions
Plug In

Speed of deployment

With automation tools, our solutions are deployed faster, and with less effort. Usually, ready-made analytical models are used, adjusted to handle specific customer data.

Accuracy

Precision

Our platform is 10% more effective in terms of analytical efficiency compared to the competition. Our approach is based on expert knowledge of machine operation and modern algorithms.

Scalability

Scalability

Scaling our platform to supervise thousands of machines is simple. With hierarchic and highly customizable management system adding more machines is easy and cost-effective.

Business-model

Better business model

Our structured approach to digital transformation allows us to guide your enterprise through phases of creating strategy and building solutions ending with operating your business.

Speed and cost of deployment are essential

With automation tools, our solutions are deployed faster, and with less effort. Usually, ready-made analytical models are used, adjusted to handle specific customer data.

The benefits of implementing our platform

Reliability-Solutions

Our platform allows you not only to avoid costly failures, but also to optimize technical maintenance, operation and logistics, therefore bringing your business great financial benefits

0

%

Minimization of the number of failures

0

%

Minimizing the number of unplanned downtimes

0

%

Minimization of technical maintenance costs

0

%

Increase in production profits

>

0

X

Return on investment