6103 results about "Normal state" patented technology

A transport system comprises a transport apparatus, which is used to construct a transport network using MPLS-TP; and a control apparatus for establishing a path in the transport network. The transport apparatus is coupled to a transfer apparatus, which is used to construct a transfer network using a network protocol different from an MPLS-TP protocol and uses the network protocol to establish a path in the transfer network in an autonomous distributed manner. The control apparatus and the transfer apparatus use the network protocol of the transfer network to transmit / receive, via the transport apparatus, control messages for controlling the transfer network. The transport apparatus avoids notifying the transfer apparatus of the fact that the control apparatus is not in a normal state, in a case where the path established in the transport network is determined as the normal state, even the control apparatus is determined as the abnormal state.

The present invention provides a method in which the physical connection information and the logical network configuration information are kinked to the status of spanning tree, and the status of spanning tree is displayed with the physical connection and the logical network configurations. The method can provide the better recognition about not only intended the physical and logical configurations but the status of spanning tree to a network administrator. Therefore, the network administrator can integrally recognize the status of the network and the failure in the network will be analyzed easily to recover the network to normal state in shorter time.

The invention discloses a pump potential cavitation fault detecting method based on quick spectrum kurtosis analysis. The pump potential cavitation fault detecting method comprises the steps that 1, vibration acceleration signals are collected to be subject to noise reduction to serve as to-be-processed signals; 2, according to the data size of the signals, the resolving order of signal processingis determined; 3, according to the quick spectrum kurtosis algorithm computation result, the optimal carrier frequency and bandwidth are selected; 4, the selected signals within the carrier frequencyand bandwidth are subject to Fourier transformation, and a frequency spectrum envelope diagram is obtained; and 5, an original signal time domain figure, a signal time domain figure treated through quick spectrum kurtosis filtering processing and the frequency spectrum envelope diagram obtained after selected zone Fourier transformation are compared, and cavitation trouble signal time and frequency characteristics are analyzed. By means of the method, more cavitation instant signals can be detected, information in the aspects of time domain and frequency domain is seen more clearly, and the normal state and the cavitation state of a pump can be distinguished obviously.

A method that includes forming a pattern of strained material and relaxed material on a substrate; forming a strained device in the strained material; and forming a non-strained device in the relaxed material is disclosed. In one embodiment, the strained material is silicon (Si) in either a tensile or compressive state, and the relaxed material is Si in a normal state. A buffer layer of silicon germanium (SiGe), silicon carbon (SiC), or similar material is formed on the substrate and has a lattice constant / structure mis-match with the substrate. A relaxed layer of SiGe, SiC, or similar material is formed on the buffer layer and places the strained material in the tensile or compressive state. In another embodiment, carbon-doped silicon or germanium-doped silicon is used to form the strained material. The structure includes a multi-layered substrate having strained and non-strained materials patterned thereon.

A method, system, and computer program product for detecting malware from outside the host operating system using a disk, virtual machine, or combination of the two. The method, system, and computer program product detects malware at the disk level while computer files in the host operating system are in actual program execution by identifying characteristic malware properties and behaviors associated with the disk requests made. The malware properties and behaviors are identified by using rules that can reliably detect file-infecting viruses. The method, system, and computer program product also uses the disk processor to provide accelerated scanning of virus signatures, which substantially decreases overhead incurred on the host operating system by existing malware detection techniques. In the event that malware is detected, the method, system, and computer program product can respond by limiting the negative effects caused by the malware and help the system recover to its normal state.

The invention discloses a state detecting device and a system and device for feeding back states of an intelligent home system. The system for feeding back the states of the intelligent home system comprises an intelligent home gateway, and further comprises the state detecting device, wherein the intelligent home gateway is used for storing states of lamplight, curtains and some household appliances and for storing various control strategies corresponding to the states. The state detecting device is used for detecting the states of the lamplight, the curtains and some household appliances in the intelligent home system, when the normal states are judged, the state detecting device sends information including a normal state signal to the gateway, and when the abnormal states are judged, the state detecting device sends information including an abnormal state signal to the gateway. At the time, when receiving the information including the normal state signal, the gateway stores the information including the normal state signal in a database to be inquired by a user, and when receiving the information including the abnormal state signal, the gateway stores the information in the database to be inquired by the user and pushes the information to a user terminal in an emergency information sending mode or in a short message sending mode. The state detecting device and the system and device for detecting the states are reliable to achieve, and the states are truly visible.

The embodiments of the present invention provide a directional coupler switchable between a normal state and a bypass state. In one embodiment, the directional coupler comprises shunt switches for switching between the normal state and the bypass state, and first and second transmission lines each extending between first and second ends, wherein the shunt switches comprises a first switch coupled to the first end of the first transmission line, a second switch coupled to the first end of the first transmission line, and a third switch coupled between the second end of the first transmission line and the second end of the second transmission line.

A smoke detector system wherein a smoke alarm which is turned “on” by the sensing of smoke is turned “off” for a predetermined period of time using a disable signal transmitted by a remote controller and an indicator light is turned “on” to indicate that the alarm is turned “off”, and wherein after the predetermined period of time, the alarm is returned to a normal state and the indicator light is turned off. Thus, when the smoke detector alarm is turned “on” by an erroneous or non-lethal sensing of smoke, a housekeeper can readily turn “off” the alarm for the predetermined period of time and see by the indicator light that the alarm is off for that period of time. Advantageously, the remote controller comprises a container having a permanent magnet and the remote controller is physically apart from the detector so that the controller can be conveniently stored, for example on a refrigerator door for quick use and storage.

The intrapericardial lead includes a lead body having a proximal portion and a flexible, pre-curved distal end portion. The distal end portion carries at least one electrode assembly containing an electrode adapted to engage pericardial tissue. The distal end portion further carries a pre-curved flexible wire member having ends attached to spaced apart points along the distal end portion of the lead body, the flexible wire member having a normally expanded state wherein an intermediate portion of the wire member is spaced apart from the distal end portion, and a generally straightened state wherein the wire member and the distal end portion are disposed in a more parallel, adjacent relationship so as to present a small frontal area to facilitate delivery into the pericardial space. The wire member re-expands to its normal state after delivery into the percaridal space to anchor the distal end portion of the lead body relative to the pericardial tissue.

An automated aircraft flight data and delivery management system and method operates in a normal state and a demand state. The demand state may be self-initiated or manually-initiated, and may be triggered during situations which include but are not limited to situations when the aircraft is in a potential or confirmed emergency situation. Data transmission increases in intensity when the system is in a demand state.

There is provided A temporary stent comprising a first contractible and expandable stent body having a loosely-interlocked knitted structure formed by twisting at least one filament W in a spiral fashion and being configured to be expanded to form a cylindrical shape as a normal state; a first contractible and expandable proximal end configured to be expanded to form a tapered shape as a normal state; a middle strut maintained in a contracted configuration; a second contractible and expandable proximal end configured to be expanded to form a tapered shape as a normal state; a second contractible and expandable stent body configured to be expanded to form a cylindrical shape as a normal state; a third contractible and expandable proximal end configured to be expanded to form a tapered shape as a normal state; and a strut, in serial order. The filament W is formed of, for example, a shape-memory material.

A deformable phantom apparatus for simulating motion of a patient's anatomy in 3D during breathing, the apparatus comprising a chamber fillable with a first fluid, a deformable member comprising tissue equivalent material of the anatomy being simulated, the deformable member being positionable within the chamber in the first fluid and having an open end in fluid communication with a second fluid outside the chamber in use; and a mechanism for causing the second fluid to flow through the open end to deform the deformable member between a normal state and a deformed state to simulate motion during breathing.

The invention relates to an eccentric pump vibration accidence fusion diagnose method and relative vibration signal collector, wherein said invention is characterized in that: it uses the eccentric pump vibration signal collector to collect the normal state, the quantity imbalance, asymmetry rotate and loose base of eccentric pump; uses wavelet decomposition and reconstruction to extract the character of vibration signal; and inputs the character vectors into sub fuzzy neural networks I and II; to be treated and replace the relation factor matched with sensor signal function; the whole fuzzy neural network comprises data fuzzy layer, input layer, hidden layer and output layer; uses D-S theory to obtain the fused signal function distribution, realize the fusion diagnose on normal state, quantity imbalance, asymmetry rotate and loose base. The invention has simple structure and high effect.

A transaction card with improved security features, comprising: an authentication unit and a magnetic stripe wherein parts of the magnetic field pattern of said magnetic stripe are generated by currents running through coils only after the authentication unit authenticates the transaction card holder. One or more sensors detect attempts to read the card by two magnetic heads, and block the card if a cloning attempt is suspected. The transaction card is thus closed for transactions in a normal state, and the magnetic information is not readable. Only after the card holder authentication, then currents are run through the coils to generate the magnetic information and make the magnetic stripe readable by commercial devices. Authentication means may include entering a PIN via a keyboard, entering a PIN via a keypad, voice recognition identification of one or more voices, biometric identification, or identification via a connection to a remote device.

A method is disclosed for determining the operating condition of a medical pump based on data derived from a pressure sensor and a position sensor. The pressure sensor generates pressure data by sensing the force on the pumping element. The position sensor generates position data by tracking the pumping cycle and determining the position of the pumping element. The pump pressure data and pump position data are processed and the calculated results compared with a pre-determined threshold value to determine the operating condition of the pump. The three main types of operating conditions of concern are the following: normal condition, where liquid is present and no leaks exist in pumping chamber; leak condition, where liquid is present but a leak exists in the pumping chamber; and air stroke condition, where the chamber contains some air.

The present invention relates to a rail traffic real-time fault diagnosis method based on data comparative analysis and a rail traffic real-time fault diagnosis system based on data comparative analysis. The method comprises the steps of (1) collecting the historical monitoring data and real-time monitoring data of rail traffic signal equipment, (2) according to the correlation relationship between the parameters of the historical monitoring data, obtaining a comparative analysis model of a normal state and a fault state, (3) according to the comparative analysis model of the fault state, generating the classification model of fault through classifier training, (4) for the real-time monitoring data, judging the normal state or abnormal state of equipment operation through the comparative analysis model, and carrying out fault alarming if the state if the abnormal state, (5) for the data of the abnormal state, carrying out fault diagnosis and classification through a fault analysis model, and outputting a fault diagnosis result. According to the method and the system, the fault of the equipment is diagnosed through classification and comparative analysis methods, and the problems of heavy workload, low efficiency and high risk in the artificial diagnosis of a railway signaling system failure are effectively solved.

In a cluster system including a plurality of operating systems operating on one computer, computer resources can be updated for and reallocated to each operating system. When the operating systems are used as active or standby operating systems, a multiple operating system management controller monitors the state of each operating system. At a failure of an active operating system, the controller allocates a larger part of computer resources to another operating system in a normal state and assigns the operating system as a new active operating system. Regardless of the failure, the computer system can be operated without changing processing capability thereof. The controller can monitor load of each operating system to allocate computer resources to the operating system according to the load.

The invention is directed to a trocar adapted to form a seal around a surgical instrument, the trocar comprising a cannula having an axis extending between a proximal end and a distal end; a housing having a proximal wall and forming with the cannula a working channel sized and configured to receive the instrument; a septum seal disposed in the housing and extending transverse to the axis of the cannula across the working channel, the septum seal having a normal state when the instrument is absent from the working channel and a stretched state when the instrument is being withdrawn from the working channel; portions of the proximal wall of the housing defining an orifice sized and configured to receive the instrument into the working channel; and an elastomeric ring-shaped projection extending axially distally between the proximal wall and the septum seal, the ring-shaped projection having an axial length adapted to deform to prevent inversion and binding of the septum seal and the orifice upon withdrawal of the surgical instrument. In particular, the septum seal is prevented from reaching the orifice in the proximal wall of the housing when the instrument is withdrawn. The projection may be bonded, insert-molded, or compressively fitted to the proximal wall of the housing. The projection may be formed of an elastomeric material such as natural or synthetic rubber. The projection may further comprise a plurality of portions or fingers extending axially distally from the proximal wall, each of the extending portions or fingers may further include a living hinge. In another aspect, the ring-shaped projection may be formed on the surface of the septum seal instead of the proximal wall of the housing. That is, the ring-shaped projection may be formed to extend axially proximally from the surface of the septum seal toward the proximal wall of the housing.

A method for operating a follower vehicle in a vehicle platoon includes determining, during operation, whether the follower vehicle is operating in a normal state or an abnormal state based on an operation condition of a component of the follower vehicle, or a communication between the follower vehicle and a preceding vehicle in the vehicle platoon. The method further includes selecting a first control mode if the follower vehicle is in the normal state and a second control mode if the follower vehicle is in the abnormal state so as to control movement of the follower vehicle using the selected control mode. In the first control mode, the follower vehicle uses communication data received from the preceding vehicle in the vehicle platoon to control its movement. In the second control mode, the follower vehicle uses data obtained by one or more of its sensors to control its movement.

The invention discloses a fatigue driving detection method, which comprises the following steps of authenticating the driver identity, accumulating the driving time, extracting the expression state, extracting the body state, collecting the road condition information, extracting the vehicle control state and detecting the fatigue driving. The invention also provides a fatigue driving detection system. According to the invention, the facial expression and the body movement of a driver is tracked through the face recognition, and the driver becomes fatigue from a normal state, for example, the eye-closed time is getting longer, the nod frequency is increased, and the like; the vehicle control state of the driver is tracked and judged whether to become bad along with the time, for example, the steering wheel rotation variance is getting larger, so the driver is detected whether to be in a fatigue driving state. The fatigue driving detection method and system avoid presetting a define threshold, and the accuracy can not be affect by the individual differences of drivers.

The invention discloses a detection method for an abnormal behavior of a vehicle based on spectrum clustering. The detection method comprises the following steps: obtaining a space-time track of a moving target through video tracking; removing abnormality and preprocessing, thereby obtaining a normal track; constructing an image for the track, thereby obtaining an undirected image corresponding to a track sequence; calculating similarity among tracks, thereby obtaining a similarity matrix; performing Laplace transformation on the similarity matrix, thereby obtaining a Laplace matrix; clustering the feature vector matrix of the front k maximal feature values; after performing mode learning on a motion track, obtaining motion modes of the target under a normal state; if a new track meets one of the motion modes, i.e. a normal motion mode, confirming that the traffic is normal; and if not, confirming that the vehicle abnormally runs, namely, the traffic abnormality occurs. According to the detection method, through the clustering learning for the vehicle track, the monitoring for the abnormal behavior of the vehicle is realized, the abnormal lane change is detected and the basis for automation of traffic management is supplied.

A movable part 10 of a display orientation adjustment apparatus H is attached to a rear surface of a display, and pivotably supported by a base 20, and its pivotal motion is restricted by a stopper 50 within a permissible range. If the movable part 10 is pivoted beyond the restricted range by a pivoting force of a predetermined magnitude or greater, the stopper 50 is released. Therefore, even if the display is pivoted inadvertently beyond the permissible range of the pivotal motion, breakage of components thereof would never take place, and its normal state of use can easily be restored.

An electric power steering device includes: an electric power source for supplying first current; a controller for setting a current instruction value; multiple electric power converters for converting the first current to second current corresponding to the current instruction value; multiple pairs of windings for generating a driving force of a motor; and a failure detection element for detecting failure of the electric power converters and the windings. The controller reduces the current instruction value to be equal to or smaller than a predetermined instruction value of a normal operation when the failure detection element detects the failure. The controller controls the electric power converter in a normal state to supply the second current to a corresponding winding.

A method includes steps: 1) obtaining monitoring information of different monitoring points in normal state of power equipment; 2) setting faults and obtaining monitoring information of different fault types, positions, monitoring points of the equipment; 3) taking the monitoring information obtained in steps 1) to 2) as training dataset, taking the fault types and positions as labels, inputting the training dataset and the labels to deep CNN for training; 4) collecting monitoring data, performing verification and classification using step 3), obtaining probability values corresponding to each of the labels; 5) taking classification results of different labels as basic probability assignment values, with respect to a monitoring system composed of multiple sensors, taking different sensors as different evidences for decision fusion, performing fusion processing using the DS evidence theory to obtain fault diagnosis result. The invention can intelligently realize fault detection, fault type determination, and fault positioning of the power equipment.

An abnormality determining apparatus is capable of avoiding mistaken determinations due to the normal value of information obtained by an information obtaining unit differing according to the content of specific information such as the operating mode setting, and deterioration of the determination precision due to a change in the user of a detection subject. The abnormality determining apparatus comprises an information storage unit for storing normal index information serving as an index of a normal state of the detection subject, an information obtaining unit for obtaining a plurality of types of information, and an abnormality determining unit for determining the presence of an abnormality in the detection subject on the basis of the normal index information stored in the information storage unit, and the information obtained by the information obtaining unit. The information storage unit stores a plurality of normal index information having different values. The abnormality determining unit selects, at a predetermined timing, normal index information to be used to determine the presence of an abnormality in the detection subject from the plurality of normal index information.

The invention discloses a multi-parameter identification based secondary system fault diagnosing method for an intelligent substation. The multi-parameter identification based secondary system fault diagnosing method is mainly applicable to digital substation accordant with IEC61850 communication protocol. The method includes: comprehensively analyzing multi-dimensional parameters including various alarm information, telemeasuring data, telecommand states and the like of a process layer, a spacer layer, a station control layer through a network message recording and analyzing device, monitoring states of secondary devices in real time by utilizing original messages as analysis data and utilizing recording of transient state of device exception and long-term monitoring of operation states as means, and realizing fault diagnosis and state monitoring of the secondary system of the intelligent substation. The multi-parameter identification based secondary system fault diagnosing method for the intelligent substation has the advantages in two aspects including that normal states of the secondary device of the intelligent substation can be monitored, background data and maintenance reference are provided for state maintenance; exception states are identified, quick fault diagnosis is realized, effective instruction can be provided for transport maintenance, and convenience in maintenance of the substation is improved.

The invention discloses controller redundancy and a switching method. The method is used for the redundancy switching logic between an industrial controller main machine and a spare machine. Calculation and output synchronization between the main machine and the spare machine is guaranteed, and rapid undisturbed switching is achieved when the main machine fails. A switching circuit is composed of two pairs of GPIO control lines and a 100M Ethernet. Through recognition of low level states, pulse signal states and high level states of IOs, the normal state or the failure state of the opposite end controller main machine or the spare machine is obtained, and the normal state or the failure state of the main machine or the spare machine of an opposite end controller can be obtained in a communication mode when the hardware switching circuit fails, so that arbitration and switching of the main machine and the spare machine are achieved. The design method of state machines is adopted, the operation states of the controller are summarized to be five states that the main machine is normal, the main machine fails, the spare machine is normal, the spare machine fails, and opposite ends are powered off, and the arbitration treatment of the main machine and the spare machine is achieved through matrixes of the state machines. The hardware switching circuit and redundant communication serve as connecting signals between redundancy devices, reliability of redundancy switching control is greatly enhanced, and stable operation of an industrial control system can be effectively guaranteed.

The invention discloses a method for guaranteeing the QoS (quality of service) of a SDN (software defined network) by means of dynamic resource management. The method is mainly characterized in that flows entering the SDN are classified according to the characteristics of the flows; the flows in the SDN are provided with different priorities; If multiple flows share one path and cause over-high link load, a low-load path is selected for a flow with a higher priority by a multi-constrained path optimization algorithm and an influence on ordinary flows are reduced as much as possible until the link recovers to a normal state; if not a path satisfying a condition exists, the flows are mapped into queues with different grades according to the different priorities of the flows and finally dynamic network resource management is achieved. The method fast solves over-high network link load, highly-efficiently utilizes network resources by means of a dynamic resource management scheme, guarantees the service request of flow with higher priority, and has good practical application value.

A storage device in which the MR-IOV is applied to an internal network of a storage controller. Data path failover can be executed in the storage device. The internal network of the storage controller is configured to enable the access of a virtual function (VF) “VF 0:0, 1” of each endpoint device (ED0-ED2) from a root port RP0. Likewise, “VF 1:0, 1” of each endpoint device can be accessed from a root port RP1. In a first data path from the RP0 to ED0 in a normal state, “VF 0:0, 1” and “MVF 0, 0” are connected by VF mapping. When a failure occurs on the first data path, the MR-PCIM executes the VF migration, whereby in the second data path from the RP1 to ED0,“VF 1:0, 1” and “MVF 0, 0” are connected by VF mapping. As a result, failover to the second data path is realized.