公开(公告)号：EP1838413A4

公开(公告)日：2010-07-07

申请号：EP05854861

申请日：2005-12-21

申请人： CARRIER CORP

发明人： KANG PENGJU ,  FARZAD MOHSEN ,  FINN ALAN ,  SADEGH PAYMAN

IPC分类号： B01D50/00 ,  B01D39/00 ,  B01D59/50 ,  F24F3/16 ,  F25B39/04 ,  F25D17/04

CPC分类号： B01D46/0086 ,  B01D46/448 ,  F24F11/39 ,  F25B49/005 ,  F25B2500/04 ,  F25B2500/19 ,  Y10S55/34 ,  Y10S116/25

摘要： A bypass factor of an evaporator is used to indicate when an air filter of an HVAC is clogged. The bypass factor represents the amount of air that is bypassed without direct contact with the evaporator. As the air filter clogs, the bypass factor decreases. The bypass factor can also be used for early detection of clogging of the air filter. A first bypass factor is calculated by using the temperature measurements, and a second bypass factor is calculated by using the airflow rate of the air. The difference between the two bypass factors determines the error. An increase in the error indicates that the air filter is clogged. A coefficient of performance of the evaporator can also be calculated to detect if the air filter is clogged. A decrease in the coefficient of performance indicates that the air filter is clogged.

摘要翻译： 蒸发器的旁路因子用于指示HVAC的空气过滤器何时堵塞。 旁路因子表示不直接与蒸发器接触的旁路空气量。 随着空气过滤器堵塞，旁路因素减小。 旁路因子也可用于早期检测空气过滤器的堵塞。 通过使用温度测量来计算第一旁路因子，并且通过使用空气的气流速率来计算第二旁路因子。 两个旁路因素之间的差异决定了误差。 错误的增加表示空气过滤器堵塞。 还可以计算蒸发器的性能系数，以检测空气过滤器是否堵塞。 性能系数的降低表明空气过滤器堵塞。

公开(公告)号：EP1755768A4

公开(公告)日：2009-11-04

申请号：EP05738001

申请日：2005-04-07

申请人： CARRIER CORP

发明人： KANG PENGJU ,  FARZAD MOHSEN ,  STRICEVIC SLAVEN ,  SADEGH PAYMAN ,  FINN ALAN M

IPC分类号： B01D46/46 ,  B01D46/00 ,  B01D46/44

CPC分类号： B01D46/0086 ,  B01D46/444 ,  B01D2273/30 ,  Y10S116/25

公开(公告)号：EP1802926A4

公开(公告)日：2010-11-03

申请号：EP05790729

申请日：2005-08-19

申请人： CARRIER CORP

发明人： FARZAD MOHSEN ,  SADEGH PAYMAN

IPC分类号： F25B49/02 ,  F24F11/00

CPC分类号： G01K15/00 ,  F24F11/30 ,  F24F11/32 ,  F24F2120/10 ,  F25B13/00 ,  F25B49/005

摘要： The present invention is directed to a mathematical approach to detect faults by reconciling known data driven techniques with a physical understanding of the HVAC system and providing a direct linkage between model parameters and physical system quantities to arrive at classification rules that are easy to interpret, calibrate and implement. The fault modes of interest are low system refrigerant charge and air filter plugging. System data from standard sensors is analyzed under no-fault and full-fault conditions. The data is screened to uncover patterns though which the faults of interest manifest in sensor data and the patterns are analyzed and combined with available physical system information to develop an underlying principle that links failures to measured sensor responses. These principles are then translated into online algorithms for failure detection.

公开(公告)号：EP1805466A4

公开(公告)日：2010-10-06

申请号：EP05809905

申请日：2005-10-11

申请人： CARRIER CORP

发明人： KANG PENGJU ,  FARZAD MOHSEN ,  FINN ALAN ,  SADEGH PAYMAN ,  STRICEVIC SLAVEN

IPC分类号： F25D17/04 ,  F25B1/00 ,  F25B49/00 ,  F25D23/12

CPC分类号： F24F11/83 ,  F24F11/30 ,  F24F2110/10 ,  F24F2110/20 ,  F25B2500/19 ,  F25B2700/1931 ,  F25B2700/1933 ,  F25B2700/21151 ,  F25B2700/21152 ,  F25B2700/21172 ,  F25B2700/21174 ,  F25B2700/21175

摘要： The temperature of the air exiting an evaporator and the relative humidity of the air entering and exiting the evaporator can be calculated by using existing sensors in a vapor compression system. The temperature of the air exiting the evaporator is calculated by using the detected temperature of the air entering the evaporator, the saturation temperature of the air, and a bypass factor. The relative humidity of the air entering and exiting the evaporator are then estimated using a psychrometric chart. By using the existing sensors to determine the temperature of the air exiting the evaporator and the relative humidity of the air entering and exiting the evaporator, the load requirement of the vapor compression system can be calculated without employing additional sensors. The system capacity of the vapor compression system can be matched to the load requirement to allow the effective use of electric power.

公开(公告)号：EP1763754A4

公开(公告)日：2007-08-08

申请号：EP05732341

申请日：2005-04-07

申请人： CARRIER CORP

发明人： KANG PENGJU ,  FARZAD MOHSEN ,  STRICEVIC SLAVEN ,  SADEGH PAYMAN ,  FINN ALAN M

IPC分类号： G06F11/30 ,  G05B9/02

CPC分类号： G05B9/02 ,  G05B2219/31359 ,  Y02P90/22

摘要： A method of diagnosing sensor faults for a heating, ventilation and air conditioning system includes the steps of creating a component model for a specific component within the system. The component model is created through the use of commonly available manufacturing data. Data within the system is input into the component model and compared to calculated and predicted values that are also calculated using the identical component models. Differences between the calculated and actual values is determined and compared to a threshold difference value. If the difference exceeds the threshold value, then a fault is detected. The specific type of sensor fault is determined using probability distribution analysis. Each type of sensor fault produces a different type of statistical deviation from normal distribution. By recognizing these patterns of deviations from the normal distribution, the specific type of fault such as electrical, intermittent or freezing of the sensor can be determined to provide initial information as to the severity and type of remedial action required.

摘要翻译： 诊断供热，通风和空调系统的传感器故障的方法包括为系统内的特定组件创建组件模型的步骤。 组件模型是通过使用常用的制造数据创建的。 将系统内的数据输入到组件模型中，并与计算和预测值进行比较，这些值也是使用相同的组件模型计算出来的。 确定计算值和实际值之间的差异并将其与阈值差值进行比较。 如果差值超过阈值，则检测到故障。 传感器故障的具体类型使用概率分布分析来确定。 每种类型的传感器故障都会产生与正态分布不同的统计偏差类型。 通过识别偏离正态分布的这些模式，可以确定传感器的特定类型的故障，例如电气，间歇或冻结，以提供关于所需补救措施的严重性和类型的初始信息。