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Condition Monitoring Software
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Condition monitoring software is crucial in predicting and preventing potential failures, reducing unplanned downtime, and minimizing repair costs.
Why Choose Orases?
Monitoring the condition of your equipment with custom made software measures the parameters of a machine in real-time to discover pattern changes that indicate an impending failure, enabling repairs to be made before downtime occurs. There is an important difference between condition monitoring and predictive analytics: condition monitoring relies on data captured in real-time, while predictive analytics relies on historical data.
As experts in the field of innovation in condition monitoring software, Orases provides expert consulting and implementation services.
Key Benefits Of Condition Monitoring Software
Condition monitoring software offers a diverse range of functions that allow teams to better manage the use of data and maintenance.
Improved Visibility And Insight Starts Here
Accurate Condition Data Tracking
Condition monitoring software provides the ability to effectively track machine operating conditions such as temperature, strain, sound intensity, vibration, pressure, force, and rotational speed. This information can be gathered through sensors in real time.
Scalable Calibration Systems
Like a well-oiled machine, calibrating your systems to operate under any condition is essential to a productive manufacturing process. A condition monitoring system that offers automated scheduling that can help fit the machine’s context by providing a monthly to annual schedule for calibration.
Accurate Reports and Dashboards
Our custom condition monitoring software is designed to integrate with your operation’s machine condition analysis and reporting. Having insights into holistic real-time data allows your technicians, supervisors, and others to respond to predictable performance issues before they occur.
Automated Analysis and Simulation
The analysis and simulation features in our condition monitoring software allow us to examine machinery performance records. Our software also integrates with modeling equipment so we can prepare for scenarios—and put forth preventative measures before issues arise.
AI Forecasting and Optimization
Condition monitoring software can forecast potential machine breakdowns and estimate time frames for failure due to sources such as corrosion or overheating. Artificial intelligence can be used to identify areas that need modification and make changes in mechanics, electronics, or pneumatics.
Features Of A Successful Condition Monitoring Software
Empowering manufacturing organizations with a high level of control over their operations
Orases’ custom software development team customizes the features of a production scheduling solution to meet the specific business needs of a manufacturing organization. Drawing from our experience in similar projects, we have compiled a list of the most frequently requested features by our clients.
Alert Customization
Users are given the power to select specific parameters they want to monitor, as well as set their alert thresholds, thus avoiding potential problems and recognizing maintenance needs.
Mobile Apps For Users
Operators, technicians and managers can access machine data and receive notifications on any device wherever they may be.
Security That Evolves
Comprehensive precautions for safeguarding against unwelcome data access have been taken into account; encryption technology applied; user authentication checked; also abiding by relevant industry regulations (e.g., OSHA, HIPAA or FDA).
Advanced Analytics
Abnormal conditions which could lead to failure are spotted out, factors contributing towards issues are identified, plus AI-backed instructions are supplied on how to improve machine performance.