Systems and methods for storage and analysis of periodic waveform data

Abstract

A method includes collecting a data for a time from sensors to a fixed monitoring system. The fixed monitoring system is fixedly coupled to a turbo-machinery and the sensors are configured to monitor the turbo-machinery, also, the time comprises at least one week. The method also includes recovering the data by coupling a portable machinery monitor to the fixed monitoring system and retrieving the data into the portable machinery monitor. The method also includes analyzing the data to determine one or more machinery conditions. The analyzing the data comprises analyzing the data via the portable machinery monitor, an external system, or any combination thereof.

What is claimed: 
     
         1 - 20 . (canceled) 
     
     
         21 . A method, comprising:
 collecting a data from sensors to a fixed monitoring system, wherein the fixed monitoring system is fixedly coupled to a machinery and the sensors are configured to monitor the machinery;   recovering the data by coupling a portable machinery monitor to the fixed monitoring system and retrieving the data into the portable machinery monitor;   analyzing the data to determine one or more machinery conditions, wherein the analyzing the data comprises analyzing the data via the portable machinery monitor, an external system, or any combination thereof; and   providing the analysis to one or more data processing systems via the portable machinery monitor.   
     
     
         22 . The method of  claim 21 , wherein the data comprises a vibration data, a high resolution data, a waveform data, a pressure data, a temperature data, an acceleration data, a voltage a current, a capacitance, a machinery condition measurement, or a combination thereof. 
     
     
         23 . The method of  claim 21 , comprising connecting to the fixed monitoring system via a local area network, a wide area network, a wireless network, or any combination thereof, and updating a parameter of the fixed monitoring system. 
     
     
         24 . The method of  claim 23 , wherein the parameter comprises the time, a data type, a subset of the sensors, a frequency of collection, or any combination thereof. 
     
     
         25 . The method of  claim 24 , wherein the data type comprises vibration data, pressure data, flow data, chemical data, or any combination thereof. 
     
     
         26 . The method of  claim 21 , wherein collecting the data includes collecting the data at a specified frequency, from specified sensors, during a start-up or shut-down of the machinery, and based on an amount of remaining storage available in a memory of the fixed monitoring system or any combination thereof. 
     
     
         27 . The method of  claim 21 , wherein providing the analysis comprises uploading the analysis to the data processing system. 
     
     
         28 . The method of  claim 21 , wherein the processing system comprises a math analytics program, a data logger, a database, a keyphasor, or any combination thereof. 
     
     
         29 . The method of  claim 21 , wherein the processing system is configured to generate a notification to one or more resources associated with the machinery based on analyzing the data to determine one or more machinery conditions. 
     
     
         30 . A system, comprising:
 a fixed monitoring system coupled to a machinery, the fixed monitoring system comprising:
 a data collection circuitry having a first memory and a first processor; 
 at least one sensor fixedly coupled to the machinery and configured to monitor a condition of the machinery; 
 a first communications port, wherein the first processor is configured to collect data indicative of the condition of the machinery from the sensors, and to store the data in the memory; and 
   a portable machinery monitor system communicatively coupled to the fixed monitoring system, the portable machinery monitor system comprising:
 a second memory and a second processor; and 
 a second communications port, wherein the first or the second processor is configured to communicate the data through the first and the second communications ports from the first memory into the second memory. 
   
     
     
         31 . The system of  claim 30 , wherein the second processor is configured to analyze the data to derive a vibration, a keyphasor, a relative vibration, axial positions, radial positions, casing velocity, casing acceleration, temperatures, differential expansion/case expansion, overspeed detection, rotor wheel acceleration, actuator positions, shaft eccentricity, rolling element bearing activity monitor data, vibration measurements, speed measurements, clearance measurements, pressure measurements, flow measurements, or any combination thereof. 
     
     
         32 . The system of  claim 30 , wherein the fixed monitoring system further comprises a communications circuitry including a third communications port, and wherein the first processor is configured to connect with an external system via a local area network, a wide area network, a wireless network, or any combination thereof and to update a parameter of the fixed monitoring system. 
     
     
         33 . The system of  claim 30 , wherein the fixed monitoring system comprises a user interface, and wherein the first processor is configured to update a parameter of the fixed monitoring system based on an input into the user interface. 
     
     
         34 . The system of  claim 30 , wherein the data comprises a vibration data, a high resolution data, a waveform data, a pressure data, a temperature data, an acceleration data, a voltage a current, a capacitance, a machinery condition measurement, or a combination thereof. 
     
     
         35 . The system of  claim 30 , wherein the at least one sensor comprises a vibration sensor, a keyphasor sensor, relative vibration, axial positions, radial positions, casing velocity, casing acceleration, temperatures, differential expansion/case expansion, overspeed detection, rotor wheel acceleration, actuator positions, shaft eccentricity, rolling element bearing activity monitor data, vibration measurements, speed measurements, clearance measurements, pressure measurements, flow measurements, or any combination thereof. 
     
     
         36 . The system of  claim 30 , wherein the second processor is configured to collect data from the machinery. 
     
     
         37 . A system, comprising:
 a portable machinery monitor system comprising:
 a first memory and a first processor; and 
 a first communications port, wherein the first processor is configured:
 communicate with a fixed monitoring system to receive a data collected by the fixed monitoring system, 
 analyze the data to derive measurement data associated with a condition of the machinery, and 
 provide the analysis to one or more data processing systems via the first communications port. 
 
   
     
     
         38 . The system of  claim 37 , wherein the portable machinery monitor is configured to derive measurement data including a keyphasor, axial positions, radial positions, casing velocity, casing acceleration, temperatures, differential expansion/case expansion, overspeed detection, rotor wheel acceleration, actuator positions, shaft eccentricity, rolling element bearing activity monitor data, vibration measurements, speed measurements, clearance measurements, pressure measurements, flow measurements, or any combination thereof. 
     
     
         39 . The system of  claim 37 , wherein the portable machinery monitor system comprises an accelerometer, a velocity sensor, a displacement sensor, a current sensor, a voltage output sensor, a laser sensor, or any combination thereof. 
     
     
         40 . The system of  claim 37 , wherein the portable machinery monitor system comprises 2-channel sensor input, 4-channel sensor input or any combination thereof with wide measurement range.