Online health and preventive maintenance system for transformer equipment

Date: November 12, 2025 09:06:41

First, what is the transformer equipment online health and preventive maintenance system

Transformer equipment online health and preventive maintenance system is relying on the Internet of Things, big data and artificial intelligence technology, real-time monitoring of transformer operating status, intelligent analysis, identify hidden faults in advance and guide the active maintenance of intelligent solutions. Its core goal is to break the limitations of traditional manual inspection, realize equipment health management from “after-the-fact remediation” to “pre-warning”, from “planned maintenance” to “condition maintenance”. The core objective is to break the limitations of traditional manual inspection and realize the transformation of equipment health management from "after-the-fact remedy" to "before-the-fact warning" and from "planned maintenance" to "condition maintenance", so as to guarantee the stable operation of power equipment.

II. Principles

The system continuously collects multi-dimensional operation data such as electrical characteristics, oil status, mechanical vibration, environmental parameters, etc. by deploying various types of sensors in key parts of the transformer, and transmits them to the intelligent analysis platform via wireless or wired network. The platform uses data preprocessing, trend analysis, machine learning and other technologies to integrate and analyze the data from multiple sources, combining the historical operation records of the equipment with the industry standards, identifying the signs of equipment abnormalities, locating the type and severity of faults, and ultimately generating early warning information and maintenance recommendations, forming a “data collection - transmission - analysis - decision-making - implementation” closed-loop management logic. The closed-loop management logic of "data collection - transmission - analysis - decision - execution" is formed.

III. Functions

The core function focuses on the whole life cycle health management of the equipment: first, real-time monitoring, comprehensively capturing the key state data during transformer operation, ensuring that there is no dead angle for monitoring; second, intelligent early warning, discovering early anomalies in a timely manner through the algorithm model, and reminding operation and maintenance personnel with graded alerts; third, maintenance management, automatically generating a personalized maintenance plan based on the health status of the equipment and tracking the progress of the implementation of the work order; and fourth, data Traceability, storing equipment operation data and maintenance records, supporting historical trend review and management optimization, and providing a basis for equipment life assessment.

IV. Advantages

The core advantages of the system are reflected in a number of aspects: first, significantly reduce the risk of unplanned outages, through early warning of hidden faults to avoid sudden power outages caused by economic losses and social impact; second, to extend the service life of the equipment, based on the state of the precise maintenance to reduce the wear and tear of excessive overhaul of the equipment; third, to optimize the efficiency of operation and maintenance and cost, reduce the workload of manual inspection, to avoid the waste of resources brought about by the blind overhaul; Fourth, enhance the level of management digitization, realize the visualization of equipment health status, maintenance decision-making data, and help the intelligent upgrading of the operation and maintenance mode.

V. Applications

The system is widely used in the power industry and industrial power distribution scenarios: including the main transformers of thermal, hydro, and new energy power stations; the core transformer equipment of substations at all levels of 330kV and above; the distribution transformers of petrochemical, metallurgical, manufacturing, and other industrial enterprises; as well as the key electric power transmission links such as the urban distribution network and the backbone of the trans-regional grid, to provide full-scenario health protection for all types of transformer equipment.

VI. Cases

  1. A substation deployed a comprehensive online monitoring system for transformers, combining maintenance-free moisture absorbers, electronicoil level meterThe company has realized multi-dimensional status monitoring of transformers, accumulated 47 warnings of equipment anomalies, and reduced the unplanned outage rate by 23% year-on-year, laying the foundation for “less manned and unmanned” operation and maintenance of substations.
  2. The main transformer and reactor of a substation were installed with 18 integrated monitoring devices, realizing comprehensive monitoring of “electricity, heat and power”, successfully solving the problem of isolated and incomplete assessment of traditional monitoring data, significantly improving the reliability of power supply for Jinn Power's outgoing power supply, and guaranteeing stable power supply for the winter peak of power consumption.

statement denying or limiting responsibility

This material is only a general introduction to the online health and preventive maintenance system for transformer equipment, and does not constitute any technical commitment, quality assurance or commercial offer. The actual application effect of the system is affected by various factors such as equipment model, operating environment, maintenance operation, site conditions, etc., and the specific performance and effectiveness need to be determined in conjunction with the actual scene. Users are recommended to consult professional technical organizations before selection and application, according to their own needs to develop targeted programs, the party will not be responsible for any direct or indirect losses arising from the use of this information.