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KIANA has executed several pilot projects in monitoring machines (Predictive Maintenance) • Project I: Demonstrator in the SmartFactory Kaiserslautern Case 9 • Project II: Monitoring of traversal cranes at steel producer Dillinger Hütte 05.06.2015 KIANA Systems – Company Presentation 36
Application cases for Predictive Maintenance • Monitoring of state of production facilities • Prediction of machine failure or critical state • Data sources • sensor data, operating data • maintenance protocols, error reports • Derivation of model of undesirable system states • => data mining • Methods: statistical methods, survival analysis, Hidden Markov Chains, anomaly detection • Outlook: every important hardware component has its own data mining capability and methods will be developed how to combine individual models into one global model (emergent data mining) 05.06.2015 KIANA Systems – Company Presentation 37
Page 1 and 2: Company Presentation
Page 3 and 4: About us • Spin-Off of the German
Page 5 and 6: Management Team Dr. Mathias Bauer -
Page 7 and 8: Some of our clients 05.06.2015 KIAN
Page 9 and 10: Snapshot - Areas of Activities (exe
Page 11 and 12: KIANA approaches projects using a w
Page 13 and 14: KIANA works with a wide range of pr
Page 15 and 16: KIANA has developed a web-based too
Page 17 and 18: The tool summarises the assessment
Page 19 and 20: Interesting microsegments have been
Page 21 and 22: KIANA has developed an algorithm to
Page 23 and 24: Process steps • Data cleansing
Page 25 and 26: KIANA has developed a self-learning
Page 27 and 28: Schematic test process paper docume
Page 29 and 30: KIANA developed software to analyse
Page 31 and 32: Classification of drugs Monitoring
Page 33 and 34: KIANA has developed an adaptive car
Page 35: Results of analysis: several cluste
Page 39: Contact KIANA Systems - a brand of

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