Method and system for acquisition, monitoring, display and diagnosis of operational parameters of electrolyzers

A system for monitoring electrolyser performances in manufacturing processes and for identifying the operation profiles of a plurality of electrolysers, said apparatus comprising:

• a) a plurality of acquisition and transmission units, each of said acquisition and transmission units measuring a plurality of variables related to a respective electrolyser and for transmitting said variables;
• b) a database and data management unit for recording the variables transmitted by each of said acquisition and transmission units;
• c) an intelligent data analysis and fault diagnosis unit for analysing said variables and diagnosing events, said analysis and diagnosis unit comprising:
• (i) a learning unit comprising a learning feature extractor and a learning faults and event classifier, wherein the learning feature extractor generates an instantaneous state vector from a plurality of relevant variables and a feature matrix defined in a plant operation time window;
• (ii) a diagnosis unit;
• and
• (iii) an operation profiles knowledge base for inputting the classification assignments generated by the learning classifier and linking the same to operation recommendations using a rate-based system;
• wherein each of said units are interconnected through a communication unit.