Portable Vibration Monitoring System for crane

Equipment failures and unplanned shutdowns incur massive losses for modern manufacturers. Conventional maintenance relies on manual work, operating under a reactive "firefighting" model where faults are only fixed after breaking out. Weak preventive maintenance keeps failure rates high, while predictive equipment management is hard to achieve.

WEITE Technology's multi-dimensional analysis system for mechanical motors and gearboxes collects full equipment data to realize real-time condition monitoring, accurate fault diagnosis and early failure prediction. It meets enterprises’ intelligent equipment management requirements and acts as a key module for industrial informatization and smart management.

Effectively solve the four major problems of mechanical failures

This dedicated monitoring system gathers vibration, speed, temperature and current signals from mechanical motors and gearboxes for storage. 

By adopting signal fusion and AI fault diagnosis algorithms, it supports real-time diagnosis, fault pre-warning, trend analysis and offline data analysis. 

It can judge motors and gearboxes operating conditions and fault modes, forecast potential failures ahead of time, lower maintenance costs and guarantee safe production.

The comprehensive spectrum diagnosis method for mechanical pumps innovatively developed by WEITE is an algorithm toolset designed to address the complexity of integrated fault spectrums. It integrates a full range of time-frequency domain analysis methods to empower the data analysis platform, supporting low-frequency wide-band data analysis, dynamic data analysis, extraction of nonlinear and non-stationary fault features, fault diagnosis and fault prediction. It is widely applicable to all types of crane motors and gearboxes equipment.