Post-processing apparatus, image forming apparatus, and image forming system

An image forming apparatus comprising a post-processing apparatus to perform a post-processing on a sheet,

• the post-processing apparatus including:
• a hole puncher including:
• a punching member including a part member;
• a motor to drive the punching member to perform a punching process as a post-processing on a sheet;
• and
• a sensor to measure a number of rotations of the motor to measure an actual punching time of the punching process on the sheet;
• and
• circuitry configured to:
• acquire:
• the actual punching time;
• and
• sheet processing information including:
• a process content of the post-processing performed on the sheet before an ejection of the sheet from the post-processing apparatus;
• and
• sheet information of the sheet;
• generate a trained model through machine learning using the sheet processing information and the actual punching time as training data;
• input the sheet processing information to the trained model to estimate an estimated punching time;
• calculate a time difference between the actual punching time and the estimated punching time;
• and
• compare the time difference and a threshold value to determine deterioration of the part member of the hole puncher.

An image forming system comprising:

• an image forming apparatus to form an image on a sheet;
• a processing apparatus coupled to the image forming apparatus via a network;
• and
• a post-processing apparatus to perform a post-processing on the sheet conveyed from the image forming apparatus,
• the post-processing apparatus including:
• a hole puncher including:
• a punching member including a part member;
• a motor to drive the punching member to perform a punching process as a post-processing on a sheet;
• and
• a sensor to measure a number of rotations of the motor to measure an actual punching time of the punching process on the sheet;
• and
• circuitry configured to:
• acquire:
• the actual punching time;
• and
• sheet processing information including:
• a process content of the post-processing performed on the sheet before an ejection of the sheet from the post-processing apparatus;
• and
• sheet information of the sheet;
• generate a trained model through machine learning using the sheet processing information and the actual punching time as training data;
• input the sheet processing information to the trained model to estimate an estimated punching time;
• calculate a time difference between the actual punching time and the estimated punching time;
• and
• compare the time difference and a threshold value to determine deterioration of the part member of the hole puncher.