Canon kabushiki kaisha (20240248653). SYSTEM AND METHOD simplified abstract

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SYSTEM AND METHOD

Organization Name

canon kabushiki kaisha

Inventor(s)

SATOSHI Tamura of Kanagawa (JP)

SYSTEM AND METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240248653 titled 'SYSTEM AND METHOD

    • Simplified Explanation:**

The patent application describes a system that can identify parts in an image processing apparatus that may be causing errors, determine the likelihood of each part failing, calculate the probability of each part being the cause of the error based on field results, and provide data for displaying information about these parts.

    • Key Features and Innovation:**

- System identifies parts in image processing apparatus causing errors - Determines failure possibility of each part - Calculates failure cause probability based on field results - Provides data for displaying parts information

    • Potential Applications:**

- Image processing equipment maintenance - Error diagnosis in image processing systems - Predictive maintenance in industrial settings

    • Problems Solved:**

- Efficient identification of faulty parts - Improved maintenance processes - Reduced downtime in image processing systems

    • Benefits:**

- Cost-effective maintenance - Enhanced system reliability - Increased productivity in image processing operations

    • Commercial Applications:**

Title: Predictive Maintenance System for Image Processing Equipment This technology can be utilized in various industries such as manufacturing, healthcare, and surveillance for proactive maintenance of image processing systems, leading to cost savings and improved operational efficiency.

    • Prior Art:**

Readers can explore prior patents related to predictive maintenance systems in image processing equipment to gain a deeper understanding of the technological advancements in this field.

    • Frequently Updated Research:**

Stay updated on the latest research in predictive maintenance systems for image processing equipment to leverage cutting-edge technologies and methodologies for enhanced system performance.

    • Questions about Predictive Maintenance Systems for Image Processing Equipment:**

1. How does this system improve maintenance processes compared to traditional methods? 2. What are the key factors to consider when implementing predictive maintenance in image processing equipment?


Original Abstract Submitted

a system identifies, based on a predetermined error occurring in an image processing apparatus, a plurality of parts each having a possibility of eliminating the predetermined error by being replaced, determines a failure possibility of each of the identified plurality of parts, calculates a failure cause probability of each of the identified plurality of parts based on field results, and provides data for performing a display including parts information including those results.