Condition
Monitoring

Avoid downtime and promptly address warning signals

An AI-driven early warning system for predictive maintenance with precise forecasts and modular, customizable dashboards

Business benefits

Our AI assistant is more than just a monitoring tool. It is an indispensable partner that continuously analyzes data, to understand the condition of systems.

Process optimization

Operational optimization through precise planning of maintenance processes and maximization of system availability.

Resource efficiency

Maintenance work is planned in a more targeted manner. Working time, Energy and material are not wasted and operating costs are reduced.

Quality assurance

Avoid loss of sales by identifying and rectifying potential production faults at an early stage. Proactive maintenance and optimized uptime.

Showcase: Machine factory

By integrating an AI-powered maintenance assistant seamlessly, GPT* models align cloud-based dashboards introduced for real-time monitoring with customized operating instructions for the company's machinery. This is the future of condition monitoring and predictive maintenance.

Machine construction
and development

Based in the EU
>200 Employees
>50 Mln.€ revenue
100 years old

Initial situation

Lack of early detection of disorders
Lack of maintenance strategy
Lack of data-based decision-making
Increased risk of production downtime

Challenges/Problems

High maintenance costs
Intensive maintenance plan
Outdated warning and alarm system
No transparency of the system status
No feedback on maintenance effects

Solution

Created data pipelenes, introduced data quality and cleaning
Created cloud dashboards for monitoring and guidelines
Fine-tuned GPT models with operating instructions

Results

Overview of failures and their implications (operating and downtime costs)
Guidelines for management and operations managers
Maintenance assistant for quick repair

How it works?

We use advanced algorithms, machine learning and ChatGPT & Co to assess the health of assets.

Data provision

The AI assistant continuously collects data from systems, such as temperature, pressure, vibration, and other relevant parameters.

Evaluation

The collected data is analyzed in real time to detect deviations from normal operating conditions.

Warnings and forecasts

When potential problems are detected, immediate warnings and accurate predictions are provided so that timely action can be taken.

Value added Network Mechanical Engineering

We are very pleased to be a part of this innovative network, which is dedicated to the new use of data in the mechanical engineering industry.

Request presentation

Fill out the contact form to request a complete presentation
of our condition monitoring approach.

Please feel free to contact us. We will hold a presentation and show the product at a convenient time for you.

Send us a letter to the
info@adeal-systems.com

Give us a phone call
+49 (0)6102 574 386 0

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