See at a glance if your machines are working as intended and get notifications otherwise.
Monitor the Overall Equipment Effectiveness of groups of or individual machines easily.
Get to know about downtime risks or necessary service activities in time to plan most cost-efficiently.
Monitor Overall Equipment Effectiveness.
Handle and supervise many machines.
Predict & request maintenance & service.
Monitor & improve performance & quality.
Get summarized or detailed evaluations for controlling the machines’ effectiveness.
Predict & request maintenance or service operations for minimal costs & downtime.
Track & analyze availability, performance and quality to eliminate issues decreasing productivity.
Know the current operation and routine progress states
of all machines, assure proper operation conditions.
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…
Project Subtitle
System for adaptive phototonic surface testing with adaptive image evaluation in combination with a cleaning system.
Companies and Partners
P…
Understand required machine information
Complete standardized machine interfaces with us
Get a running and validated pilot deployment
Know the return on investment
Get roll-out roadmap after proof of concept
Learn more about AI in Manufacturing and its use-cases.
WHAT IS PREDICTIVE MAINTENANCE & CONDITION MONITORING?
The production in a company can come to a complete standstill due to machine failures.
Of course, it is necessary to shut down machines regularly for maintenance or calibration to ensure accuracy, safety and efficiency.
However, when downtime occurs unplanned, it causes disruption of workflows, ineffectiveness, high costs, and wasted time.
Modern industrial AI software like IconPro APOLLO can resolve those issues to maximize productivity.
Condition monitoring & predictive maintenance solutions optimize machine availability by notifying in real-time about alarms and by predicting unwanted downtime of machines before they occur.
DEFINITION OF PREDICTIVE MAINTENANCE
Predictive maintenance software applies machine learning (ML) and industrial AI to data coming from the condition monitoring of machines or robots.
Industrial AI software like IconPro APOLLO anticipates when a component might fail so that preventive maintenance can be scheduled before the downtime occurs unplanned.
The goal is to schedule maintenance at an optimal and cost-efficient time.
In this way, you maximize machine availability, but without putting it at risk, thus reaching a significantly increased uptime and overall equipment effectiveness of machines or robots.
DEFINITION CONDITION MONITORING
Condition monitoring refers to monitoring specified machine and environmental conditions (e.g. vibration, temperature, noise, etc.) that are relevant to the availability, performance or downtime of machines.
Changes or anomalies shall be identified that could signal an upcoming failure of a component.
Condition monitoring is an important aspect of predictive maintenance.
The implementation of it provides data for predictive analytics or industrial AI to be applied and preventive measures to be taken to prevent further failures and thus unplanned downtime.
EXAMPLE CONDITION MONITORING FOR MEASUREMENT MACHINES
Goals: Maximize operator efficiency, minimize false measurements
HOW DOES PREDICTIVE MAINTENANCE WORK?
The key benefit of predictive maintenance is the ability to anticipate and plan necessary maintenance based on the digitized asset’s current and historical state.
However, it is anything but simple to determine the precise status of complex machines or robots.
Predictive Maintenance can utilize condition monitoring and alert technicians to upcoming machine downtime if three key elements are fulfilled:
REALIZE CONDITION MONITORING TO ENABLE PREDICTIVE MAINTENANCE
Many necessary sensors and components for condition monitoring can be installed or retrofitted.
Electrical currents, vibrations, temperature, pressure, oil, noise levels, levels of corrosion, and more can all be measured via applying modern and small external sensors,
by utilizing existing modern standard interfaces to the control system or adapting to older analogue interfaces to the control system.
Most often the information is there already and just waiting to be extracted by experts like those from IconPro.
ADVANTAGES OF PREDICTIVE MAINTENANCE & CONDITION MONITORING
Choosing Predictive Maintenance for your production bears a lot of advantages. Some of them include: