Siemens Aktiengesellschaft

Other

Cong Chao Li

Peng Wei Tian

Fan Wang

Yang Liu

Cheng Feng

Daniel Schneegass

Ruo Gu Sheng

Xinglin Chen

Weifeng Wang

Chuan Liu

Li Qun Ding

Yue Yu

Jing Wen Zhu

Chang Wei Loh

Chao Hua Wu

Wei Yu Chen

Cable organizer

Various embodiments of the teachings herein include anomaly detection methods for a dynamic control system. An example method includes: using a g network to initialize a hidden state distribution of the system; receiving a measurement value of a sensor and a state value of a trigger at a current point of time; receiving a sampling point into an f network to perform a prediction to obtain a second sampling point; using an h network to map the second sampling point into a sensor measurement value space to perform a prediction to obtain a probability distribution of a measurement value of the sensor in the dynamic control system at the current point of time; and determining whether an anomaly exists in the dynamic control system by comparing the measurement value obtained from real-time monitoring and the probability distribution obtained from a prediction.

Anomaly detection method and apparatus for dynamic control system, and computer-readable medium

Various embodiments include a method for product quality inspection on a group of products. The method may include: getting for each product in the group of products: image, value for each known fabrication parameter affecting quality of the group of products, and quality evaluation result; training a neural network. A layer of the neural network comprises at least one first neuron and at least one second neuron; each first neuron represents a known fabrication parameter affecting quality of the group of products and each second neuron represents an unknown fabrication parameter affecting quality of the group of products; and the images of the group of products are input to the neural network, the quality evaluation results are output of the neural network, and the value of each first neuron is set to the value for the known fabrication parameter the first neuron representing.

Method and apparatus for product quality inspection

An industrial device matching method and apparatus are used for acquiring a corresponding relationship between industrial devices in different industrial data sources to provide basis for industrial data analysis. The method, in an embodiment, includes collecting data of at least two industrial data sources; determining a first relationship between various industrial devices in each industrial data source, and determining a first relationship topology between the industrial devices in the industrial data source; and comparing the first relationship topologies corresponding to various industrial data sources, to determine a first corresponding relationship between industrial devices in industrial data sources, the first corresponding relationship enabling the first relationship topologies corresponding to at least two industrial data sources to be similar. A relationship between industrial devices in different industrial data sources is determined by comparing a relationship topology between devices according to the similarity of relationships between the devices in different industrial data sources.

Industrial device matching method and apparatus

A measurement control system for a multi-shaft supported air floatation platform, the system comprising a load feedback unit (), an execution unit (), a position measurement unit (), a safety protection unit (), a controller (), a rotating motor (), and a linear light source; the load feedback unit comprises M pressure sensors (-) and four differential sensors (-); the execution unit comprises M servo voice coil motors (-) and M servo voice coil motor drivers (-); the position measurement unit comprises a plane grating (-), M linear gratings (-) a linear array CCD (-), a tilt sensor (-), M electronic levels (-), and an indoor GPS (-); the safety protection unit comprises 2M proximity sensors (-) and M temperature sensors (-); and the linear array CCD consists of no few then six CCDs. The system solves the problems of leveling limitations and narrow application range of existing supporting platforms.

Measurement control system for multi-shaft supported air floatation platform

Growing community of inventors

Jiangsu, China

Cong Chao Li