A fault diagnosis application becomes context‑aware when the current production situation is used in the reasoning process. After years of research, we propose CPSlytics, the first context‑aware fault diagnosis system for Industry 4.0 environments. Equipped with the latest unsupervised AI technology, CPSlytics observe and reason software and hardware modules to pinpoint towards the origin of the fault. Mitigating complexity for your professionals to minimize the downtime.
CPSlytics is ready for the future. Factories of Tomorrow will receive deeper integration, become more interconnected and produce massive amounts of data. CPSlytics supports various data sources including the latest Industry 4.0 communication protocol OPC UA gathering all new dependencies and relationships in the data.
CPSlytics uses unsupervised convolutional autoencoders to analyze a production situation with different granularity to find the distinct part of the machine's software or hardware module that contradicts the normal. No laborious labeling of data is necessary.
Multiple neural networks observe and rate the current situation in milliseconds to classify the ongoing production. Your professionals are enabled to reason the neural networks behavior. Recent findings witness quick learnability, understandability and ease of operation to detect and classify any upcoming fault.
The novel invented visualization provides not only guidance but also the path to the faults' origin in a blink of an eye. The context hierarchy guides your experts over multiple levels toward the correct variables. In every step, your professionals are kept in charge. No automatic black box decision is made for you.
Currently, Industry 4.0 machine manufacturers are scarce on deep insights into their machinery. We offer additional sensing units for your production line. The sensing units enrich the gathered contextual information to squeeze out even more information for reasoning.