Performance mapping of equipment performance parameters by capturing, mapping, and/or structuralizing equipment performance data of a device for installation in a system. This includes generating performance maps which outline the expected feature performance parameter behavior of the equipment based on a set of operating parameters that capture the operating conditions. Each performance parameter on the map is representative of an operating point of specific operating conditions taken at a particular point in time. In one example, a performance parameter can be defined by an individualized set of parameter coefficients which in turn are dependent on instantaneous operating conditions. With the performance maps determined individually for devices as part of the system, and stored along with a time of testing, activities such as continuous commissioning, monitoring and verification, preventative maintenance, fault detection and diagnostics, as well as energy performance benchmarking and long term monitoring can be performed.

According to one embodiment, a monitoring system includes a processor. The processor accepts first data output from a first detector. The first detector detects a signal caused by equipment. The processor performs a first determination when a first value is in a first state. The first value indicates a state of the first detector or an environment where the equipment is provided. The first determination determines a condition of the equipment by using a first model and the first data. The processor performs a second determination when the first value is in a second state different from the first state. The second determination determines the condition of the equipment by using a second model and the first data. The second model is different from the first model.

According to one embodiment, a monitoring system includes a processor. The processor accepts first data output from a first detector. The first detector detects a signal caused by equipment. The processor performs a first determination when a first value is in a first state. The first value indicates a state of the first detector or an environment where the equipment is provided. The first determination determines a condition of the equipment by using a first model and the first data. The processor performs a second determination when the first value is in a second state different from the first state. The second determination determines the condition of the equipment by using a second model and the first data. The second model is different from the first model.

A method, apparatus, system, and computer program product for managing pumps in an aircraft. Flight information about an operation of the pumps in a pump package in the aircraft is received by a computer system. The flight information is received from the aircraft. A number of times that an abnormal switching occurred for the pumps within a window of consecutive flights is determined by the computer system when the abnormal switching is identified from the flight information. A set of actions is performed by the computer system when the abnormal switching occurred a number of times for the pumps within the window of consecutive flights that exceeds a set of thresholds for the abnormal switching that is considered healthy for the pumps.

A method, apparatus, system, and computer program product for managing pumps in an aircraft. Flight information about an operation of the pumps in a pump package in the aircraft is received by a computer system. The flight information is received from the aircraft. A number of times that an abnormal switching occurred for the pumps within a window of consecutive flights is determined by the computer system when the abnormal switching is identified from the flight information. A set of actions is performed by the computer system when the abnormal switching occurred a number of times for the pumps within the window of consecutive flights that exceeds a set of thresholds for the abnormal switching that is considered healthy for the pumps.

Provided is a load data analysis method for analyzing, based on a rainflow method, load data indicative of a load irregularly and repeatedly applied to an object. The load data analysis method comprises: a first step of acquiring a given amount of load data, and calculating a frequency/frequencies regarding a load amplitude of a load applied to the object and/or a load average, based on the rainflow method, by using load data satisfying a given condition among the given amount of load data; a second step of storing load data failing to satisfy the given condition among the given amount of load data; and a third step of combining the load data stored in the second step with newly-acquired load data to generate the given amount of load data for executing the first step, wherein the first to third steps are repeatedly executed.

A method is provided for assessing health of a mechanical system. The method includes receiving discontinuous system data that is obtained intermittently and is associated with health of the system and generating a discontinuous health index that is based on the discontinuous system data and receiving continuous system data that is obtained continuously and is associated with the health of the system and generating a continuous health index that is based on the continuous system data, wherein the discontinuous health index and the continuous health index are configured to be combinable. The method further includes combining the discontinuous health index and the continuous health index, generating an overall health index based on the combination of the discontinuous health index and the continuous health index, and automatically taking one or more actions to maintain or improve health of the mechanical system and/or avoid risk based on the overall health index.

A systems and method for plotting and viewing onboard machine data with graphical user interfaces on a mobile heavy duty machine is disclosed. The method also includes displaying a list of machine systems on an onboard display of the machine. The method further includes receiving at the display a selection of a machine system from the list of machine systems. The method additionally includes displaying one or more parameters at the display based on the selected machine system. The method additionally includes receiving at the display a selection of a parameter. The method also includes displaying a graphical representation, comprising an x-axis and y-axis, of real-time data of the parameter.

A systems and method for plotting and viewing onboard machine data with graphical user interfaces on a mobile heavy duty machine is disclosed. The method also includes displaying a list of machine systems on an onboard display of the machine. The method further includes receiving at the display a selection of a machine system from the list of machine systems. The method additionally includes displaying one or more parameters at the display based on the selected machine system. The method additionally includes receiving at the display a selection of a parameter. The method also includes displaying a graphical representation, comprising an x-axis and y-axis, of real-time data of the parameter.

A device for estimating a temperature of a lubricant in a transmission that transmits power from a motor to a robot joint includes a thermometer and a processor. The processor includes hardware configured to: receive, as input from the motor, a current value of the motor and calculate, as output, a motor heat value based thereon; receive, as input from the motor and the transmission, a rotating speed of the motor and a frictional torque of the transmission, and calculate, as output, a frictional heat value in the transmission based on the rotating speed of the motor and at least one of the frictional torque of the transmission and at least one coefficient of friction of the transmission; and receive, as input from the thermometer, the room temperature, the frictional heat value, and the motor heat value and estimate, as output, the estimated temperature of the lubricant based thereon.