What points and parameters does the turbine monitoring system measure?
Ⅰ. What are the types of turbine monitoring systems?
A turbine monitoring system is a device and software system used to monitor and manage the operating status of a turbine. These systems are designed to improve the reliability, efficiency, and safety of turbines, prevent failures, and perform maintenance by monitoring and analyzing data in real time. Here are some common components and functions of turbine monitoring systems, as well as some examples.
1. Vibration monitoring system: Used to monitor the vibration level of the turbine to detect any abnormal vibration or imbalance. The vibration monitoring system can detect vibrations through sensors and alarm based on set thresholds.
Example: Bentley Nevada's vibration monitoring system, such as System 1 Evolution.
2. Temperature monitoring system: Used to monitor the temperature of various components of the turbine, including high-temperature parts such as turbine blades and bearings. Abnormal temperatures may indicate component failure or cooling system problems.
Example: Siemens' temperature monitoring system, such as SPPA-T3000.
3. Pressure Monitoring System: Used to monitor pressure at various parts of the turbine, including the inlet and exhaust ports. Abnormal pressure may indicate a system leak or other problem.
Example: GE's pressure monitoring systems, such as the Mark VIe Control System.
4. Oil Monitoring System: Used to monitor the status of lubricating and hydraulic oils, and detect contaminants and moisture in the oil to ensure good lubrication and cooling.
Example: Honeywell's oil monitoring solutions, such as Experion PKS.
5. Performance Monitoring System: Evaluates the operating status of the turbine by monitoring its actual performance parameters, such as power output and efficiency. Performance degradation can be detected by comparison with design values.
Example: ABB's performance monitoring systems, such as Advanced Optimal Control.
6. Remote Monitoring and Diagnostic System: Allows remote monitoring of the status of the turbine and provides real-time diagnostic information. This helps to take timely action to prevent possible failures.
Example: Emerson's AMS Suite for remote monitoring and diagnostics.
7. Fault diagnosis and prediction system: By analyzing historical data and models, potential signs of failure are identified and predicted for preventive maintenance.
Example: OSIsoft's PI System, which predicts failures through big data analysis.
8. Data storage and analysis system: Used to store and analyze large amounts of data from various sensors and monitoring devices to provide operating trends and performance analysis.
Example: IBM's Maximo Asset Performance Management, used for data storage and analysis.
These systems are usually integrated with each other to form a comprehensive turbine monitoring solution to help operators better understand and manage the operating status of the turbine. Different manufacturers and suppliers may provide different solutions and products.
Ⅱ. What points are generally measured for turbine oil monitoring?
Turbine oil monitoring systems usually contain multiple measurement points for monitoring the status of lubricating oil and hydraulic oil. The locations of these measurement points usually cover the key parts of the lubrication system and hydraulic system. The following are some common turbine oil monitoring system measurement points.
1. Monitoring the oil tank: The oil tank is where the oil for the lubrication system and hydraulic system is stored. Sensors are installed in the oil tank to monitor the oil level, temperature and cleanliness of the oil.
2. Monitoring the oil filter: Before the oil flows through the system, an oil filter is usually installed. Sensors are set at the oil filter to monitor the filter element status and filter element pressure difference to indicate in advance whether the filter element needs to be replaced.
3. Oil cooler: The oil cooler is used to reduce the temperature of the oil. Temperature sensors are set at the inlet and outlet of the oil cooler to monitor the cooling effect and warn of overheating.
4. Monitoring the oil pump: The oil pump is a key component that delivers lubricating oil or hydraulic oil to the system. Pressure sensors are set at the inlet and outlet of the oil pump to monitor the pressure level of the oil.
5. Monitoring the bearings: Vibration and temperature sensors are installed at the key bearing parts of the turbine to monitor the operating status of the bearings. Abnormal vibration or temperature may indicate a bearing problem.
6. Monitoring the turbine blades: Temperature sensors are installed to monitor the temperature of the turbine blades. High temperatures may indicate blade overheating or other problems.
7. Monitoring key components of the hydraulic system: If the turbine contains a hydraulic system, pressure, temperature and flow sensors need to be set in the hydraulic oil circuit to ensure the normal operation of the hydraulic system.
8. Online oil quality analysis: Some systems may include online oil quality analysis sensors to monitor the chemical composition of the oil in real time and detect harmful substances and contaminants.
The selection of these measurement points depends on the specific turbine design, manufacturer's specifications and user needs. By setting sensors at key locations, operators can understand the status of the oil in a timely manner, detect potential problems in advance, and take appropriate maintenance measures to ensure the reliable operation of the turbine.
Ⅲ. What are the main parameters for turbine monitoring?
The main parameters for turbine monitoring cover many aspects, including vibration, temperature, pressure, lubricating oil and performance. Monitoring these parameters helps to understand the operating status of the turbine in real time, detect potential problems in advance, and perform preventive maintenance. The following are some of the main turbine monitoring parameters and the problems they reflect.
1. Vibration:
Monitoring data: Use vibration sensors to measure the vibration levels of various components of the turbine.
Problem manifestation: Abnormal vibration may indicate imbalance, bearing wear, blade imbalance or other mechanical problems.
Temperature:
Monitoring data: Use temperature sensors to monitor the temperature of components such as turbine blades, bearings, oil, etc.
Problem manifestation: Increased temperature may indicate friction, insufficient lubrication, cooling problems or other component failures.
2. Pressure:
Monitoring data: Use pressure sensors to monitor the pressure of the air inlet, exhaust port, oil circuit and hydraulic system.
Problem manifestation: Abnormal pressure may indicate leakage, blockage, hydraulic system failure or other problems.
3. Lubricating oil status:
Monitoring data: Use oil level sensors, oil quality analyzers, etc. to monitor the oil level, cleanliness, chemical composition, etc. of the lubricating oil.
Problem manifestation: Low oil level, deterioration of oil quality, and increased contaminants may lead to increased friction, poor lubrication, and wear of parts.
4. Performance parameters:
Monitoring data: Use sensors to monitor turbine performance parameters such as power output, efficiency, and fuel consumption.
Problem manifestation: Performance degradation may indicate blade damage, incomplete combustion, fuel supply problems, or other operating abnormalities.
5. Vibration spectrum analysis:
Monitoring data: Use vibration sensors to perform spectrum analysis to understand the frequency distribution of vibration.
Problem manifestation: Vibrations of specific frequencies may be related to problems with specific mechanical components, helping to accurately locate the fault point.
6. Slip ring temperature:
Monitoring data: Use temperature sensors to monitor the temperature of slip rings.
Problem manifestation: Increased slip ring temperature may indicate bearing problems, increased friction, etc.
7. Cooling system parameters:
Monitoring data: Monitor parameters such as cooling water temperature and flow rate.
Problem manifestation: Insufficient cooling may cause problems such as overheating of turbine blades and decreased efficiency.
8. Turbine speed:
Monitoring data: Use speed sensors to monitor the rotation speed of the turbine.
Problem manifestation: Abnormal speed may indicate mechanical failure, control system problems, etc.
The integration and analysis of these monitoring parameters can provide operation and maintenance personnel with a comprehensive view of the health status of the steam turbine, enabling them to take appropriate maintenance and repair measures in a timely manner to ensure the reliable and efficient operation of the steam turbine.
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