For Design FMEAs, detection is the ranking number corresponding to the likelihood that the current detection-type Design Controls will detect the failure mode/cause, typically in a timeframe before the product design is released for production. For Process FMEAs, detection is the ranking number co...
object detection (view table figure) Image classification Object detection The goal is to predict the type or class of an object in an image. Input: an image with a single object Output: a class label (cat, dog, etc.) Example output: class probability (for example, 84% cat) The ...
In short, there are different types of PCB and each of it is equipped with dedicated inspection methods. Regardless of deep learning methods or hand-crafted methods, these models have their own shortcomings, leading to different impracticalities. Table 1 presents the summarized limitations of reviewe...
Table 3 Diagnostic Flags / Bits Fault Type Short to Ground Fault Short to Battery Fault Open Load Fault Abr. SG SB OL Gate is ON OL-ON-F reported (=0 in ON/OFF mode) Bit SB-F BIT OL-ON-F (=0 in ON/OFF mode) Gate is OFF Bit SG-F Bit OL-OFF-F Note: In order to ...
Sensors 2018, 18, 4103 4 of 24 Table 1. Fault mode and effect analysis (FMEA) results of hydraulic torque converter. S, severity; O, occurrence; D, detection; RPN, risk priority number; ATF, automatic transmission fluid. Fault Code F101 Part Blade of pump wheel F10...
object detection (view table figure) Image classification Object detection The goal is to predict the type or class of an object in an image. Input: an image with a single object Output: a class label (cat, dog, etc.) Example output: class probability (for example, 84% cat) The ...
object detection (view table figure) Image classification Object detection The goal is to predict the type or class of an object in an image. Input: an image with a single object Output: a class label (cat, dog, etc.) Example output: class probability (for example, 84% cat) The ...
object detection (view table figure) Image classification Object detection The goal is to predict the type or class of an object in an image. Input: an image with a single object Output: a class label (cat, dog, etc.) Example output: class probability (for example, 84% cat) The ...
Figure 2. Machine LK3 used in underground mine. 2.2. On Board Diagnostic System Description To maintain such types of machines a list of critical parameters has been defined to be measured on the machine. The list of parameters is case-depended. In Table A1, see Appendix A, we have pres...
Since the robot’s behavior is based on embedded software, the FMEA has been integrated with the hardware/software interaction analysis described in the ECSS-Q-ST-30-02C manual. The core of this proposal is to show how a simulation-based approach, where the mechanical and electrical/electronic...