Abstract: An inertia braking test system and a control method is provided, wherein the inertia braking test system is composed of an inertia brake test system, a sensor system and a tested object. An actuating device is connected with the inertia brake control device through a ball stud. The actuation function of the inertia brake control device with two degrees of freedom along the front-and-rear direction and the up-and-down direction of the vehicle is realized. The movable chassis realizes the mobile function of the system. The acceleration sensor can sense the acceleration of the movable chassis. Each force is tested by the first force sensor, the second force sensor and the third force sensor. The displacement data is measured by the first displacement sensor and the second displacement sensor, so that a movable brake system test is achieved.

Abstract: An inertia braking test system and a control method is provided, wherein the inertia braking test system is composed of an inertia brake test system, a sensor system and a tested object. An actuating device is connected with the inertia brake control device through a ball stud. The actuation function of the inertia brake control device with two degrees of freedom along the front-and-rear direction and the up-and-down direction of the vehicle is realized. The movable chassis realizes the mobile function of the system. The acceleration sensor can sense the acceleration of the movable chassis. Each force is tested by the first force sensor, the second force sensor and the third force sensor. The displacement data is measured by the first displacement sensor and the second displacement sensor, so that a movable brake system test is achieved.

Abstract: A method for repairing a mask plate. The mask plate includes a frame having an opening, a plurality of first shielding strips and a plurality of mask strips. The method includes: identifying a mask strip deformation area, identifying the area of the mask plate having a mask strip that expands outward and deforms along the second direction as the mask strip deformation area; replacing a shielding strip, performing a net tensioning process for the second shielding strip, replacing at least part of the first shielding strips in the mask strip deformation area with a second shielding strip and connecting the second shielding strip to the upper side frame and the lower side frame, so that the mask strip that expands outward and deforms is retracted inward along the second direction.

Abstract: The technology disclosed relates to training a convolutional neural network (CNN) to identify and classify images of sections of an image generating chip resulting in process cycle failures. The technology disclosed includes creating a training data set of images of dimensions M×N using labeled images of sections of image generating chip of dimensions J×K. The technology disclosed can fill the M×N frames using horizontal and vertical reflections along edges of J×K labeled images positioned in M×N frames. A pretrained CNN is further trained using the training data set. Trained CNN can classify a section image as normal or depicting failure. The technology disclosed can train a root cause CNN to classify process cycle images of sections causing process cycle failure. The trained CNN can classify a section image by root cause of process failure among a plurality of failure categories.