Fixing Belt Assembly Failure Prediction via Multi-Sensor Fusion
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Solution Overview
Problem
Existing electrophotographic image forming apparatuses face challenges in accurately detecting abnormalities in the fixing device, relying solely on load torque of the drive motor, which fails to account for various situations, leading to incomplete or inaccurate failure detection.
Innovation Solution
The image forming apparatus incorporates a fixing device with a heater temperature detection portion, belt temperature detection portion, current detection portion, and life information acquisition portion, allowing the control unit to select between first and second failure prediction processing modes based on these detection results to predict and manage failures effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only load torque of the drive motor is used for abnormality detection, then the detection system remains simple, but various situations of the fixing device cannot be accurately detected
Solution Approach 1:
The patent combines multiple detection parameters (load torque, heater temperature, belt temperature, drive current, and life information) into a unified abnormality detection system. The control unit integrates these diverse data sources to comprehensively assess fixing device status, enabling accurate detection of various abnormal situations including overheating, excessive load, and component wear that cannot be detected by load torque alone.
Solution Approach 2:
The detection system is designed to serve multiple functions: monitoring mechanical load through torque and current, thermal conditions through temperature sensors, and component wear through life information. This multi-functional approach allows a single integrated system to detect diverse abnormal situations across different operating conditions, replacing the need for separate specialized detection systems.
2Reliability
If multiple detection parameters are used for failure prediction, then failure prediction accuracy improves, but the system complexity increases
Solution Approach 1:
The control unit continuously monitors multiple parameters and uses this feedback to predict failures before they occur. By analyzing trends in load torque, temperature variations, drive current, and life information, the system can identify patterns indicating impending failures, allowing proactive maintenance scheduling and preventing unexpected breakdowns while maintaining reasonable system complexity through intelligent data processing.
3Productivity
If comprehensive monitoring is implemented, then downtime is reduced through better failure management, but the initial system complexity and cost increase
Solution Approach 1:
The system performs preliminary failure prediction by continuously analyzing multiple parameters including life information, allowing maintenance to be scheduled before actual failures occur. This proactive approach enables planned downtime for maintenance rather than unexpected breakdowns, improving overall productivity and continuous operation capability while justifying the monitoring system complexity through reduced operational interruptions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate prediction and management of failures in the fixing device, reducing downtime by allowing for optimal driving methods based on temperature and life information, ensuring continuous operation and minimizing unnecessary stops.
Implementation Method 1
a fixing device that includes a fixing belt unit including a heater portion... the heater portion heats the fixing belt to a predetermined temperature
Implementation Method 2
a pressure roller; the pressure roller presses against the fixing belt of the fixing belt unit to form a nip
Implementation Method 3
a drive motor that drives the pressure roller... detecting a drive current of the drive motor
Data Source
AI summary
An image forming apparatus includes a fixing device having a fixing belt assembly including a heater, a fixing belt, a heater temperature sensor, and a belt temperature sensor, and a pressure roller; a drive current sensor; and a life information acquisition portion. The heater temperature sensor detects the temperature of the heater. The belt temperature sensor detects the temperature of the fixing belt. The pressure roller presses against the fixing belt. The drive current sensor detects a drive current of a drive motor that drives the pressure roller. The life information acquisition portion acquires life information of the fixing belt assembly. A controller selects a failure prediction processing mode based on the detection result of the drive current sensor and selects a driving method based on the detection results of the temperature sensors and the acquisition result of the life information acquisition portion in each mode.