◆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 accuracy and uniqueness: By using multiple technical means for cross-diagnosis, the accuracy of diagnosis and the uniqueness of faults are enhanced to eliminate possibilities. Fault quantification and classification: Based on the calculation results of actual values and threshold values, compare them with the set grade thresholds for faults, quantify the severity, and manage faults by classification.
◆Enhancing equipment reliability: Helping practitioners break away from their reliance on technical experts, strengthening equipment status management and equipment health management capabilities, and improving equipment reliability from a professional perspective can be as high as50%; ◆Reduce maintenance costs: The equipment maintenance strategy based on condition-based maintenance focuses mainly on condition management and professional governance. Predictive maintenance effectively reduces the pressure of spare parts inventory and can save maintenance costs up to30%; ◆Enhance work efficiency: Entrust cumbersome and repetitive tasks to computers, liberate the productivity of professionals, stimulate creativity, and improve work efficiency70%.
Five-In-One-Inspection Equipment Intelligent Maintenance and Decision System 
Precision Inspection and Remote Diagnosis System 
an intelligent predictive maintenance visualization system for your most critical machinery health and condition monitoring 
Visualized Auxiliary Machinery Intelligent Safety Pre-control System