Intelligent Fault Diagnosis Knowledge Base

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Intelligent Fault Diagnosis Knowledge Base

The intelligent fault diagnosis knowledge base comprehensively embodies and supports various value orientations on top of big data. Have EDE& KBS Intelligent Diagnosis Engine and Knowledge Base System. In terms of intelligent management of equipment reliability, the "five determinations" for equipment fault diagnosis have been achieved - determination of the fault location, cause of the fault, fault level, maintenance plan and maintenance cost. It can automatically determine: "fault location, fault cause, severity level, solution and maintenance cost", thereby automatically supporting group-level intelligent maintenance decisions - optimizing maintenance projects, maintenance cycles, maintenance levels, maintenance strategies and maintenance costs.

Product Details

Key Technologies

◆Multi-parameter and multi-dimensional: Adopt multi-parameter and multi-dimensional feature vectors and fault matrices; ◆Logic+Operation, forward reasoning: Set a threshold value for each parameter and fault, and compare the actual value with the threshold value to complete logical reasoning and grade operation. ◆Fault Precision and Uniqueness: Multiple technological methods are applied for cross-diagnosis to improve accuracy and ensure the uniqueness of fault identification, eliminating ambiguity; Fault Quantification and Grading: Based on the calculation results between actual values and threshold values, faults are compared against pre-defined severity thresholds to quantify their seriousness and enable graded management.

: Expected effect

◆Enhance Equipment Reliability: Empowers practitioners to strengthen equipment condition management and health management capabilities, thereby increasing equipment reliability by up to 50%. ◆Reduce Maintenance Costs: By adopting a condition-based maintenance strategy, efforts are focused on condition monitoring and remediation. Predictive maintenance effectively reduces spare parts inventory pressure and saves up to 30% in maintenance costs. ◆Improve Work Efficiency: Repetitive and tedious tasks are automated through computational systems, freeing up human resources for higher-value creative work and boosting overall efficiency by 70%.