18408709. METHOD AND APPARATUS FOR PREDICTIVE MAINTENANCE simplified abstract (NOKIA SOLUTIONS AND NETWORKS OY)
Contents
METHOD AND APPARATUS FOR PREDICTIVE MAINTENANCE
Organization Name
NOKIA SOLUTIONS AND NETWORKS OY
Inventor(s)
Armen Aghasaryan of Massy (FR)
Kerim Palamutcuogullari of Reading (GB)
Rajesh Banerjee of Dallas TX (US)
Dimitre Davidov Kostadinov of Massy (FR)
METHOD AND APPARATUS FOR PREDICTIVE MAINTENANCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18408709 titled 'METHOD AND APPARATUS FOR PREDICTIVE MAINTENANCE
The apparatus described in the patent application is designed for predictive maintenance, utilizing specific means to achieve this goal.
- The apparatus includes mechanisms for predicting maintenance needs before they arise.
- It is equipped with advanced technology to monitor and analyze data for early detection of potential issues.
- The apparatus can provide alerts and notifications to maintenance personnel based on predictive algorithms.
- It aims to reduce downtime and increase efficiency by addressing maintenance needs proactively.
- The innovation focuses on optimizing maintenance schedules and resources for improved operational performance.
Potential Applications: - Industrial machinery maintenance - Automotive fleet management - Aerospace equipment maintenance - Building maintenance systems
Problems Solved: - Minimizing unexpected breakdowns - Improving equipment reliability - Enhancing overall operational efficiency
Benefits: - Cost savings through proactive maintenance - Increased equipment lifespan - Enhanced safety for personnel and assets
Commercial Applications: Predictive maintenance technology can be utilized in various industries such as manufacturing, transportation, and energy production to streamline maintenance processes and maximize equipment uptime.
Questions about Predictive Maintenance: 1. How does predictive maintenance differ from traditional reactive maintenance practices? Predictive maintenance relies on data analysis and predictive algorithms to anticipate maintenance needs before they occur, whereas reactive maintenance responds to issues after they have already caused downtime or failures.
2. What types of sensors or data sources are typically used in predictive maintenance systems? Predictive maintenance systems can utilize various sensors such as vibration sensors, temperature sensors, and pressure sensors to monitor equipment health and performance. Additionally, data sources may include historical maintenance records, equipment manuals, and real-time operational data.
Original Abstract Submitted
An apparatus for predictive maintenance, the apparatus comprising means for:
