See at a glance if your machines are working as planned and get notified if they aren’t.
Monitor the effectiveness of the entire system, groups or individual machines in the simplest way.
Receive timely information about failure risks or necessary service measures for cost-efficient planning.
Überwachung der Gesamtanlageneffektivität
Überwachung aller Maschinenzustände
Vorhersage & Anforderung von Wartung
Kontrolle & Verbesserung der Leistung & Qualität
Get detailed or aggregated machine effectiveness reports to assess profitability.
Predict necessary maintenance or service work and request it in an optimized way for minimal costs and downtime.
Track machine availability & performance or process capability to optimize productivity & quality.
Keep track of many machine statuses and program progress at the same time and at any location.
Project Subtitle
System for adaptive phototonic surface testing with adaptive image evaluation in combination with a cleaning system.
Companies and Partners
P…
Project Subtitle
Data-based evaluation of the wire electrical discharge machining process
Companies & Partners
WBA Aachener Werkzeugbau Akademie GmbH, Mak…
Project Subtitle
Automation of network edge infrastructure & applications with artificial intelligence
Companies & Partners
Opel Automobile GmbH, Frau…
Understand the use case, goals and requirements
Checking the existing machine and sensor data
Expansion and improvement of the data situation
Processing of the data and dashboard visualization
Evaluation of the feasibility for your machines
Evaluation of the return on investment
Roll-out roadmap after successful proof-of-concept
Learn more about AI in production and its use cases.
WHAT IS PREDICTIVE MAINTENANCE AND CONDITION MONITORING
Production in a company can come to a complete standstill due to machine failures.
Of course, it is necessary to periodically shut down machines for maintenance or calibration to ensure accuracy, safety and efficiency.
However, when unplanned downtime occurs, it causes disruption to work processes, inefficiency, high costs and wasted time.
Modern industrial AI software for predictive maintenance like IconPro APOLLO can solve these problems to maximize productivity.
Solutions for condition monitoring and predictive maintenance optimize machine availability.
They provide real-time alarms about critical conditions and predict machine failures before they occur to avoid unplanned downtime.
DEFINITION OF PREDICTIVE MAINTENANCE
Predictive maintenance software applies machine learning (ML) and industrial AI to machine condition monitoring data.
Corresponding industrial AI software for predictive maintenance like IconPro APOLLO anticipates when a component will fail so that preventive maintenance can be scheduled before unplanned downtime occurs.
The aim is to go beyond pure condition monitoring and to plan maintenance at an optimal and cost-efficient point in time.
In this way, machine availability is significantly maximized, but without endangering it, and a significantly higher availability and overall system effectiveness of the machines or robots is achieved.
DEFINITION CONDITION MONITORING
Condition monitoring or the condition monitoring of machines or robots refers to the collection of data on machine or environmental conditions (e.g. vibration, temperature, etc.).
The status data collected is relevant to the availability, performance or potential failures of the machines.
They are stored to detect deviations or anomalies that could indicate a developing machine failure or downtime.
Condition monitoring is elementary for predictive maintenance, as it only enables the use of industrial AI software to predict downtimes via the collected data.
EXAMPLE CONDITION MONITORING FOR MEASURING MACHINES IN QUALITY ASSURANCE
Goals: Maximum operator efficiency, Minimum incorrect measurements
HOW PREDICTIVE MAINTENANCE WORKS
The main benefit of predictive maintenance is the ability to predict & schedule required maintenance based on the current & historical condition of the machine.
However, it is anything but easy to determine the exact status of complex machines or robots.
Predictive maintenance can use condition monitoring to alert technicians to imminent machine failures when the following are true:
REALIZE CONDITION MONITORING FOR PREDICTIVE MAINTENANCE
Many sensors and components necessary for condition monitoring can be installed or retrofitted.
Electrical currents, vibrations, temperature, pressure, oil, noise levels, degree of corrosion and much more can be measured using modern and small external sensors,
be measured by using existing modern standard interfaces to the control system or by adapting to older analogue interfaces to the control system.
In most cases, the information is already there, just waiting to be extracted by experts like those at IconPro.
ADVANTAGES OF PREDICTIVE MAINTENANCE & CONDITION MONITORING
Deciding on predictive maintenance in your production has many advantages. Some of them are: