Toshiba Mitsubishi-electric Industrial Systems Corporation

Noriyuki Maehata

Shigehiko Matsuda

Norihiro Suzuki

A data collection system includes sensors which are synchronized with each other and an optical signal distributor, wherein each of the sensors comprises a first delay unit which delays a second electrical signal for a first delay time set such that a sum of the first delay time and a first conversion time is same in all of the sensors, and the optical signal distributor comprises second delay units each of which delays a first electrical signal for a second delay time set such that all of sums of the second delay times and conversion times are same as each other.

Data collection system

The present application provides a noise source analysis method including measuring a noise using voltage sensorsandwhich are time-synchronized with each other and making an analysis to identify a noise source which is a cause of noise based on data of the noise measured by the voltage sensorsand

Noise source analysis method

An automatic remote monitoring and diagnosis system includes an environmental sensor and a physical sensor which measure environmental data and physical data, respectively, on electronic control devices and send the data by wireless communication, a wireless server which collects the measurement data of the sensors, a diagnostic client connected to the wireless server by a first communication network and that collects the measurement data from the wireless server, a diagnostic server connected to the diagnostic client by a second communication network and that carries out a diagnosis based on the measurement data from the diagnostic client, a data retaining device which retains the measurement data, and a knowledge database which stores information necessary for the diagnosis. The diagnostic server sends results of the diagnosis and a remedy to the diagnostic client via the second communication network.

Automatic remote monitoring and diagnosis system

Various sensors are provided inside control equipment, and it is determined whether environment inside the control equipment is abnormal or not, based on data obtained from the sensors.

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Tokyo, Japan

Noriyuki Maehata