In-situ Condition Monitoring of Components in Small Modular Reactors Using Process and Electrical Signature Analysis. Final report, volume 1. Development of experimental flow control loop, data analysis and plant monitoring

Upadhyaya, Belle¹  Hines, J. Wesley¹  Damiano, Brian²  Mehta, Chaitanya¹  Collins, Price¹  Lish, Matthew¹  Cady, Brian¹  Lollar, Victor¹  de Wet, Dane¹  Bayram, Duygu¹ 

[1]Univ. of Tennessee, Knoxville, TN (United States)

[2]Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

关键词: DATA ANALYSIS;    DATA ACQUISITION SYSTEMS;    PUMPS;    MOTORS;    PWR TYPE REACTORS;    VALVES;    MACHINERY;    COMPUTERIZED SIMULATION;    MONITORING;    SIGNALS;    CONTROL;    STEADY-STATE CONDITIONS;    ELECTRIC CURRENTS;    INDUCTION;    SENSORS;    TRANSIENTS;    FLOW RATE;    POWER FACTOR;    CORRELATIONS;    COMPUTER CODES;    ELECTRIC POTENTIAL;    ACCURACY;    BYPASSES;    REACTOR VESSELS;    DISTURBANCES;    LEAKS;    PERFORMANCE;    TESTING;    MODULAR STRUCTURES;    REMOTE SENSING;    DATA PROCESSING;    MECHANICAL VIBRATIONS;    TIME-SERIES ANALYSIS;    COOLANT LOOPS;   

DOI  :  10.2172/1183686
RP-ID  :  DOE/NEUP--11-3212
PID  :  OSTI ID: 1183686
Others  :  Other: 11-3212
Others  :  TRN: US1500404

美国|英语

来源: SciTech Connect

【 摘 要 】

The research and development under this project was focused on the following three major objectives: Objective 1: Identification of critical in-vessel SMR components for remote monitoring and development of their low-order dynamic models, along with a simulation model of an integral pressurized water reactor (iPWR). Objective 2: Development of an experimental flow control loop with motor-driven valves and pumps, incorporating data acquisition and on-line monitoring interface. Objective 3: Development of stationary and transient signal processing methods for electrical signatures, machinery vibration, and for characterizing process variables for equipment monitoring. This objective includes the development of a data analysis toolbox. The following is a summary of the technical accomplishments under this project: - A detailed literature review of various SMR types and electrical signature analysis of motor-driven systems was completed. A bibliography of literature is provided at the end of this report. Assistance was provided by ORNL in identifying some key references. - A review of literature on pump-motor modeling and digital signal processing methods was performed. - An existing flow control loop was upgraded with new instrumentation, data acquisition hardware and software. The upgrading of the experimental loop included the installation of a new submersible pump driven by a three-phase induction motor. All the sensors were calibrated before full-scale experimental runs were performed. - MATLAB-Simulink model of a three-phase induction motor and pump system was completed. The model was used to simulate normal operation and fault conditions in the motor-pump system, and to identify changes in the electrical signatures. - A simulation model of an integral PWR (iPWR) was updated and the MATLAB-Simulink model was validated for known transients. The pump-motor model was interfaced with the iPWR model for testing the impact of primary flow perturbations (upsets) on plant parameters and the pump electrical signatures. Additionally, the reactor simulation is being used to generate normal operation data and data with instrumentation faults and process anomalies. A frequency controller was interfaced with the motor power supply in order to vary the electrical supply frequency. The experimental flow control loop was used to generate operational data under varying motor performance characteristics. Coolant leakage events were simulated by varying the bypass loop flow rate. The accuracy of motor power calculation was improved by incorporating the power factor, computed from motor current and voltage in each phase of the induction motor.- A variety of experimental runs were made for steady-state and transient pump operating conditions. Process, vibration, and electrical signatures were measured using a submersible pump with variable supply frequency. High correlation was seen between motor current and pump discharge pressure signal; similar high correlation was exhibited between pump motor power and flow rate. Wide-band analysis indicated high coherence (in the frequency domain) between motor current and vibration signals. - Wide-band operational data from a PWR were acquired from AMS Corporation and used to develop time-series models, and to estimate signal spectrum and sensor time constant. All the data were from different pressure transmitters in the system, including primary and secondary loops. These signals were pre-processed using the wavelet transform for filtering both low-frequency and high-frequency bands. This technique of signal pre-processing provides minimum distortion of the data, and results in a more optimal estimation of time constants of plant sensors using time-series modeling techniques.