Machine and/or monitoring

• US 20070198219A1
• Filed: 06/07/2004
• Published: 08/23/2007
• Est. Priority Date: 06/05/2003
• Status: Active Grant

• Current Assignee: Valmet Technologies OY (Valmet Oyj)
• Original Assignee: Metso Paper Incorporated (Neles Oyj)
• Inventors: Persson, Anders, Lundberg, Mikael, Kryniski, Krystof, Havela, Tuija
• Granted Patent: US 7,444,265 B2
• Time in Patent Office: Days
• US Class Current: 702/187
• CPC Class Codes: G01H 1/003 of rotating machines G01H1/10 takes precedence
• CPC Class Codes: G01M 13/045 Acoustic or vibration analysis

Abstract

In a method of monitoring the status of a machine and/or a process run on the machine a plurality of parameters (v) containing information about the status of the machine and/or the process is measured and stored. From a database (24) a corresponding plurality of stored reference values for said parameters are extracted according to a predetermined criteria, and the plurality of measured parameters are compared with the plurality of corresponding reference values for determining the status of the machine and/or the process. A corresponding system for automatic on-line monitoring comprises at least one sensor for sensing a plurality of parameters (v) containing information about the status of the machine and/or of a process run on the machine. Extracting means (22) are provided for extracting from a database (24) a corresponding plurality of stored reference values for said parameters according to predetermined criteria. A comparator compares the plurality of measured parameters with the plurality of corresponding reference values for determining the status of machine and/or process.

Claims

1-42. -42. (canceled)

43. A method of monitoring the status of a machine and/or of a process run on the machine, the method comprising:

measuring and storing a plurality of parameters containing information about the status of the machine and/or process;

extracting from a database a corresponding plurality of stored reference values for said parameters according to a predetermined criteria; and

comparing said plurality of measured parameters with said corresponding plurality of stored reference values for determining the status of the machine and/or the process.

44. The method according to claim 43, wherein said plurality of measured parameters contains information about the mechanical condition of a moving part of the machine.

45. The method according to claim 43, and further comprising:

measuring at least one quantity representing the loading of the machine simultaneously with the measurement of said plurality of parameters; and

extracting said stored reference values determined for the same loading of the machine as the loading represented by said measured quantity as said corresponding plurality of reference values.

46. The method according to claim 44, and further comprising:

measuring at least one quantity representing the loading of the machine simultaneously with the measurement of said plurality of parameters; and

extracting said stored reference values determined for the same loading of the machine as the loading represented by said measured quantity as said corresponding plurality of reference values.

47. The method according to claim 43, wherein said measurements are performed in predetermined regularly spaced time periods.

48. The method according to claim 45, wherein said measurements are performed in predetermined regularly spaced time periods.

49. The method according to claim 43, wherein said measured parameters are treated by statistical methods to verify the stability of the measured parameters before the comparison with corresponding reference values.

50. The method according to claim 45, wherein said measured parameters are treated by statistical methods to verify the stability of the measured parameters before the comparison with corresponding reference values.

51. The method according to claim 43, wherein said plurality of reference values are formed by originally measured pluralities of parameters, and wherein measured pluralities of parameters are grouped according to loading conditions of the machine and cross-correlated with correspondingly grouped originally measured pluralities of parameters.

52. The method according to claim 45, wherein said plurality of reference values are formed by originally measured pluralities of parameters, and wherein measured pluralities of parameters are grouped according to loading conditions of the machine and cross-correlated with correspondingly grouped originally measured pluralities of parameters.

53. The method according to claim 49, wherein said plurality of reference values are formed by originally measured pluralities of parameters, and wherein measured pluralities of parameters are grouped according to loading conditions of the machine and cross-correlated with correspondingly grouped originally measured pluralities of parameters.

54. The method according to claim 44, wherein said moving part is a bearing of a rotating machine and said plurality of measured parameters include vibrations in said bearing, the method further comprising:

sensing said vibrations and producing corresponding vibration signal data;

determining the loading of the machine by measuring at least one signal representing an operating condition of the machine and/or a parameter of a process run on the machine;

measuring said at least one signal simultaneously with the vibration signal data;

storing said measured at least one signal together with the vibration signal data; and

selecting for further processing for monitoring purposes the vibration signal data related to said measured operating condition and/or process parameter according to predetermined criteria.

55. The method according to claim 46, wherein said moving part is a bearing of a rotating machine and said plurality of measured parameters include vibrations in said bearing, the method further comprising:

sensing said vibrations and producing corresponding vibration signal data;

determining the loading of the machine by measuring at least one signal representing an operating condition of the machine and/or a parameter of a process run on the machine;

measuring said at least one signal simultaneously with the vibration signal data;

storing said measured at least one signal together with the vibration signal data; and

selecting for further processing for monitoring purposes the vibration signal data related to said measured operating condition and/or process parameter according to predetermined criteria.

56. The method according to claim 54, and further comprising:

correlating through said further signal processing the vibration signal data to the simultaneously measured operating condition and/or process parameter data; and

setting said alarm triggering threshold level for the vibration signal depending on the result of the correlation.

57. The method according to claim 55, and further comprising:

correlating through said further signal processing the vibration signal data to the simultaneously measured operating condition and/or process parameter data; and

setting said alarm triggering threshold level for the vibration signal depending on the result of the correlation.

58. The method according to claim 56, wherein said correlation is performed by Multi Variate Data Analysis.

59. The method according to claim 57, wherein said correlation is performed by Multi Variate Data Analysis.

60. The method according to claim 54, and further comprising:

A/O-converting and processing said vibration signal data in a network of filters; and

then

storing the converted and processed vibration signal data together with said signal representing an operating condition of the machine and/or a parameter of the process run on the machine.

61. The method according to claim 56, and further comprising:

A/O-converting and processing said vibration signal data in a network of filters; and

then

storing the converted and processed vibration signal data together with said signal representing an operating condition of the machine and/or a parameter of the process run on the machine.

62. The method according to claim 60, and further comprising determining the frequency pattern for said bearing by the processing of said sensed vibration signal.

63. The method according to claim 61, and further comprising determining the frequency pattern for said bearing by the processing of said sensed vibration signal.

64. The method according to claim 54, and further comprising producing and storing for said further processing a plurality of vibration signals representing vibrations in several measuring points of a bearing, or vibrations in several bearings, together with said signal representing an operating condition of the machine and/or a parameter of the process run on the machine.

65. The method according to claim 56, and further comprising producing and storing for said further processing a plurality of vibration signals representing vibrations in several measuring points of a bearing, or vibrations in several bearings, together with said signal representing an operating condition of the machine and/or a parameter of the process run on the machine.

66. The method according to claim 60, and further comprising producing and storing for said further processing a plurality of vibration signals representing vibrations in several measuring points of a bearing, or vibrations in several bearings, together with said signal representing an operating condition of the machine and/or a parameter of the process run on the machine.

67. The method according to claim 54, and further comprising storing a plurality of vibration signals together with a plurality of signals representing several operating conditions of the machine and/or several parameters of the process run on the machine.

68. The method according to claim 56, and further comprising storing a plurality of vibration signals together with a plurality of signals representing several operating conditions of the machine and/or several parameters of the process run on the machine.

69. The method according to claim 60, and further comprising storing a plurality of vibration signals together with a plurality of signals representing several operating conditions of the machine and/or several parameters of the process run on the machine.

70. The method according to claim 64, wherein each vibration sensing point is allotted its own address.

71. The method according to claim 67, wherein each vibration sensing point is allotted its own address.

72. The method according to claim 54, and further comprising comparing said vibration signal to different set warning and/or safety threshold levels to issue a warning and/or an indication of a safety risk.

73. The method according to claim 56, and further comprising comparing said vibration signal to different set warning and/or safety threshold levels to issue a warning and/or an indication of a safety risk.

74. The method according to claim 60, and further comprising comparing said vibration signal to different set warning and/or safety threshold levels to issue a warning and/or an indication of a safety risk.

75. The method according to claim 64, and further comprising comparing said vibration signal to different set warning and/or safety threshold levels to issue a warning and/or an indication of a safety risk.

76. The method according to claim 67, and further comprising comparing said vibration signal to different set warning and/or safety threshold levels to issue a warning and/or an indication of a safety risk.

77. A system for automatic on-line monitoring of the status of a machine and/or a process run on the machine, the system comprising:

at, least one sensor for measuring a plurality of parameters, containing information about the status of the machine and/or the process run on the machine;

a database having a plurality of stored reference values for said parameters;

means for extracting from said database the corresponding reference values according to a predetermined criteria; and

a comparator for comparing said plurality of measured parameters with said plurality of corresponding reference values for determining the status of the machine and/or the process.

78. The system according to claim 77, wherein said sensor is configured to sense a plurality of parameters containing information about a mechanical condition of at least one moving part of the machine.

79. The system according to claim 77, and further comprising:

a measuring device for measuring at least one quantity representing the loading of the machine simultaneously with the measurement of said plurality of parameters; and

wherein

said extracting means is configured to extract as said corresponding plurality of reference values stored reference values determined for the same loading of the machine as the loading represented by said measured quantity.

80. The system according to claim 78, and further comprising:

a measuring device for measuring at least one quantity representing the loading of the machine simultaneously with the measurement of said plurality of parameters; and

wherein

said extracting means is configured to extract as said corresponding plurality of reference values stored reference values determined for the same loading of the machine as the loading represented by said measured quantity.

81. The system according to claim 79, wherein said at least one sensor and said measuring device are controlled to perform measurements in predetermined regularly spaced time periods.

82. The system according to claim 77, and further comprising calculation means to treat said measured parameters by statistical methods to verify the stability of said measured parameters before the comparison with corresponding reference values.

83. The system according to claim 79, and further comprising calculation means to treat said measured parameters by statistical methods to verify the stability of said measured parameters before the comparison with corresponding reference:

values.

84. The system according to claim 77, and further comprising a trend analyzer for analyzing the result of the comparison of the plurality of measured parameters with the plurality of corresponding reference values to detect incipient faults in said moving parts and monitor the progression of these faults.

85. The system according to claim 79, and further comprising a trend analyzer for analyzing the result of the comparison of the plurality of measured parameters with the plurality of corresponding reference values to detect incipient faults in said moving parts and monitor the progression of these faults.

86. The system according to claim 82, and further comprising a trend analyzer for analyzing the result of the comparison of the plurality of measured parameters with the plurality of corresponding reference values to detect incipient faults in said moving parts and monitor the progression of these faults.

87. The system according to claim 77, and further comprising a DSP-controlled network of digital filters for extraction from said database of said plurality of stored reference values according to said predetermined criteria.

88. The system according to claim 79, and further comprising a DSP-controlled network of digital filters for extraction from said database of said plurality of stored reference values according to said predetermined criteria.

89. The system according to claim 78, wherein said machine has at least a rotating component, said at least one moving part is a bearing of the rotating component of said machine and said at least one sensor is mounted for sensing vibrations in said bearing and producing a corresponding vibration signal;

said system further comprising;

measuring means for determining the loading of the machine by measuring at least one signal representing an operating condition of the machine and/or a parameter of a process run on the machine simultaneously with the sensing of the vibration signal;

data storing means for storing vibration signal data together with simultaneously measured operating condition and/or process parameter data;

selecting means for selecting stored vibration signal data depending on the values of the stored simultaneously measured operating condition and/or process parameter data; and

further signal processing means for further signal processing of the selected vibration signal data for monitoring purposes.

90. The system according to claim 89, wherein said sensor comprises an accelerometer.

91. The system according to claim 89, and further comprising a data acquisition unit, including an A/D-converter and a network of digital filters, connected to said at least one sensor for A/D-converting said sensed vibration signal and extracting information from it.

92. The system according to claim 91, wherein said data acquisition unit is configured to simultaneously collect said vibration signal and said signal representing the status of the machine and/or a parameter of the process run on the machine.

93. The system according to claim 87, wherein said network of filters comprises IIR-filters.

94. The system according to claim 87, wherein said network of filters comprises bandpass and envelope filters.

95. The system according to claim 89, wherein said further signal processing means comprises a function unit for correlating said selected vibration signal data with simultaneously measured operating condition and/or process parameter data for setting said an alarm triggering threshold level for the vibration signal depending on the result of the correlation.

96. The system according to claim 92, wherein said further signal processing means comprises a function unit for correlating said selected vibration signal data with simultaneously measured operating condition and/or process parameter data for setting said an alarm triggering threshold level for the vibration signal depending on the result of the correlation.

97. The system according to claim 89, wherein said further processing means comprises an FFT-analyzer.

98. The system according to claim 89, wherein said further signal processing means comprises an envelope detector.

99. The system according to claim 89, wherein said further signal processing means comprises an envelope enhancer.

100. The system according to claim 89, wherein said further signal processing means comprises a stroboscopic analyser.

101. The system according to claim 89, wherein said further signal processing means comprises RMS and peak detectors.

102. The system according to claim 89, wherein said further signal processing means comprises a signal power evaluator.

103. The system according to claim 89, wherein said further signal processing means are realized by function modules.

104. The system according to claim 95, and further comprising comparator means for comparing the vibration signal with said alarm triggering threshold level.

105. The system according to claim 104, wherein said comparator means is configured to compare said vibration signal to different warning and/or safety threshold levels, said levels being set depending on the result of said further signal processing, to trigger a warning or safety risk indicator.

106. The system according to claim 89, wherein said at least one sensor comprises a plurality of sensors mounted for sensing vibrations at several measuring points of a bearing or in several bearings, and said further signal processing means comprises a plurality of signal channels for processing said vibration signals from said plurality of sensors.

107. The system according to claim 95, wherein said at least one sensor comprises a plurality of sensors mounted for sensing vibrations at several measuring points of a bearing or in several bearings, and said further signal processing means comprises a plurality of signal channels for processing said vibration signals from said plurality of sensors.

108. The system according to claim 105, wherein said at least one sensor comprises a plurality of sensors mounted for sensing vibrations at several measuring points of a bearing or in several bearings, and said further signal processing means comprises a plurality of signal channels for processing said vibration signals from said plurality of sensors.

109. The system according to claim 95, wherein said function unit is configured to correlate said plurality of vibration signals with a plurality of signals representing several operating conditions of the machine and/or several parameters of the process run on the machine.

110. The system according to claim 107, wherein said function unit is configured to correlate said plurality of vibration signals with a plurality of signals representing several operating conditions of the machine and/or several parameters of the process run on the machine.

111. The system according to claim 108, wherein said function unit is configured to correlate said plurality of vibration signals with a plurality of signals representing several operating conditions of the machine and/or several parameters of the process run on the machine.

112. The system according to claim 77, and further comprising a client interface for obtaining information from the monitoring via remote means.

113. The system according to claim 112, said client interface comprises means for remote operation of the system.