JP5156210B2 - ガスタービンエンジン構成要素品質のモデルベース反復推定 - Google Patents
ガスタービンエンジン構成要素品質のモデルベース反復推定 Download PDFInfo
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- JP5156210B2 JP5156210B2 JP2006249310A JP2006249310A JP5156210B2 JP 5156210 B2 JP5156210 B2 JP 5156210B2 JP 2006249310 A JP2006249310 A JP 2006249310A JP 2006249310 A JP2006249310 A JP 2006249310A JP 5156210 B2 JP5156210 B2 JP 5156210B2
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- 239000003607 modifier Substances 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 238000002955 isolation Methods 0.000 claims description 4
- 230000004044 response Effects 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 claims description 2
- 239000011159 matrix material Substances 0.000 claims description 2
- 230000001537 neural effect Effects 0.000 claims 1
- 238000000034 method Methods 0.000 description 11
- 230000008859 change Effects 0.000 description 6
- 238000012804 iterative process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
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- 230000008569 process Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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- 238000011156 evaluation Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
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- 230000001052 transient effect Effects 0.000 description 1
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Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0254—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
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- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Testing Of Engines (AREA)
- Feedback Control In General (AREA)
Description
ここで、nは、計算したセンサ値の数値であり、mは、品質パラメータの数値であり、yjは、センサ値(例えば、y1はファン速度であり、y2はコア速度であるなど)に対応し、またqiは、構成要素品質パラメータ(例えば、q1はファン流量変更子であり、q2はファン効率変更子であるなど)である。
として定義される。
E=(e1・・・en)=(s1−y1・・・sn−yn) [3]
品質パラメータに対するデルタ変化は、設計定数又はゲイン値h、行ベクトルE及び行列Jyの積として、すなわち、
ΔQ=(Δq1・・・Δqm)=hEJy [4]
として計算される。
[Q]k+1=[Q]k+ΔQ [5]
ここで、[Q]kは、反復ステップkにおける品質パラメータベクトルである。
12 ファン
14 高圧圧縮機
16 高圧タービン
18 低圧タービン
20 ブースタ圧縮機
22 空気入口
24 バーナ
26 コアノズル
28 バイパスダクト
30 バイパスノズル
32 排出口
38 コアエンジン
52 第1のシャフト
54 第2のシャフト
58 空気流
Claims (9)
- ガスタービンエンジンの複数のエンジン構成要素に対する品質パラメータを推定するためのシステムであって、
前記複数のエンジン構成要素の複数のセンサからのセンサ値に対応する仮想センサ値(50)及び品質パラメータを計算するように構成されたエンジンモデルと、
前記仮想センサ値(50)を前記複数のセンサからの実センサ値と比較して該実センサ値(46)及び仮想センサ値(50)間の差異を算出する比較器と、
所定のゲインを有し、前記差異に該所定のゲインを乗じる増幅器と、
前記所定のゲインを乗じられた前記実センサ値及び仮想センサ値(50)間の差異に応答して複数の品質パラメータデルタを算出するプロセッサユニットと、
前記算出した品質パラメータデルタの所定の部分を前記エンジンモデル内に差し替えることによって該エンジンモデルを反復して更新するための自動スイッチング手段と、を含み、
前記エンジンモデルが、エンジン運転条件を受けるための少なくとも1つの入力を有し、前記エンジン運転条件が、前記比較器に供給される前記仮想センサ値(50)を生成するために使用され、前記エンジン構成要素の有効寿命の予測、整備オーバホールの範囲、並びに、損傷又は故障の検出及び分離の少なくとも1つを決定又は実行され、
前記所定のゲインが、多数の仮想センサ値(50)及び品質パラメータに基づいて計算され、前記仮想センサ値(50)が、前記品質パラメータの関数である
ことを特徴とする、システム。
- 前記エンジンモデルが、前記複数のエンジン構成要素に対する品質調整パラメータの組を供給するように構成された出力を含む、請求項1記載のシステム。
- 前記エンジンモデル(10)が、物理学ベースモデル、回帰モデル又はニューラルネットモデルである、請求項1記載のシステム。
- 前記エンジンモデルが、ファン、少なくとも1つの圧縮機、高圧タービン及び低圧タービンのモデルを含む、請求項1記載のシステム。
- 前記エンジンモデルがまた、空気入口、バーナ、コアノズル、バイパスダクト、バイパスノズル及び排出口のモデルを含む、請求項4記載のシステム。
- 前記エンジンモデル(10)の構成要素の各モデルが、個々にモデル化されかつ構成要素レベルモデルに組み立てられる、請求項5記載のシステム。
- 前記品質パラメータのデルタが、流量変更子及び効率変更子を含む、請求項1記載のシステム。
- 前記品質パラメータデルタを生成するステップが、誤差ベクトルとヤコビ関数であるアルゴリズムとを乗じられた設計定数の関数として該品質パラメータデルタを計算するステップを含み、前記ヤコビ関数が、
請求項1記載のシステム。 - 前記複数の品質パラメータデルタを生成するステップが、ゲイン値hを有する前記所定のゲインと、誤差ベクトルEを有する前記差異と、前記行列Jyとの積として該品質パラメータデルタを計算するステップを含み、
前記誤差ベクトルEが、
E=(e1・・・en)=(s1−y1・・・sn−yn)
として定義され、ここで、siは、i番目の実エンジンセンサ値を表わし、
前記アルゴリズムの各反復において、前記品質パラメータデルタΔQが、Eの現在値に基づいて計算され、かつ前記品質パラメータが、次式、
[Q]k+1=[Q]k+ΔQ
によって更新され、ここで、[Q]kは反復ステップkにおける前記品質パラメータベクトルである、
請求項8記載のシステム。
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/283,345 | 2005-11-18 | ||
US11/283,345 US7505844B2 (en) | 2005-11-18 | 2005-11-18 | Model-based iterative estimation of gas turbine engine component qualities |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2007138921A JP2007138921A (ja) | 2007-06-07 |
JP5156210B2 true JP5156210B2 (ja) | 2013-03-06 |
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JP2006249310A Expired - Fee Related JP5156210B2 (ja) | 2005-11-18 | 2006-09-14 | ガスタービンエンジン構成要素品質のモデルベース反復推定 |
Country Status (5)
Country | Link |
---|---|
US (1) | US7505844B2 (ja) |
EP (1) | EP1790838B1 (ja) |
JP (1) | JP5156210B2 (ja) |
CN (1) | CN1966955B (ja) |
CA (1) | CA2558919C (ja) |
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2005
- 2005-11-18 US US11/283,345 patent/US7505844B2/en active Active
-
2006
- 2006-09-07 CA CA2558919A patent/CA2558919C/en not_active Expired - Fee Related
- 2006-09-11 EP EP06254720.3A patent/EP1790838B1/en not_active Ceased
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Cited By (2)
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US11132616B2 (en) | 2016-09-20 | 2021-09-28 | Kabushiki Kaisha Toshiba | Characteristic value estimation device and characteristic value estimation method |
KR102165872B1 (ko) | 2019-04-25 | 2020-10-14 | 국방과학연구소 | 초음속 비행체 엔진 흡입구 유동제어를 위한 다중 측정센서 시스템 및 그의 고장판단방법 |
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CA2558919A1 (en) | 2007-05-18 |
US7505844B2 (en) | 2009-03-17 |
CA2558919C (en) | 2015-02-10 |
CN1966955A (zh) | 2007-05-23 |
EP1790838B1 (en) | 2013-11-20 |
CN1966955B (zh) | 2012-10-03 |
EP1790838A1 (en) | 2007-05-30 |
JP2007138921A (ja) | 2007-06-07 |
US20070118271A1 (en) | 2007-05-24 |
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