Kabushiki Kaisha Toshiba

Seiichi Asatsu

Mitsuyoshi Okazaki

Kazuhiro Saito

Shigeru Harada

Satoshi Nagai

Toshihiro Fujiwara

Hirotsugu Kodama

Kazunari Fujiyama

Hitoshi Kichise

Takayuki Iwahashi

Masanori Minowa

Fumiharu Ishii

Shunzo Watanabe

Taiji Hirawawa

Mamoru Sudo

Kentaro Takagi

Hideo Hosaka

Taiji Hirasawa

Tatsuo Yamashita

Masanori Murakami

Yasunari Akikuni

Masao Arimura

An operation-supporting apparatus includes: an operation request input unit that inputs information relating to operation request items of plant equipment; an operating conditions setting unit that converts operation request input information to operating parameters; an operation history creation unit that creates an operation history by chronologically processing the operating parameters; a breakdown statistics database that stores an event tree of the plant equipment; an event simulator that calculates the degree of unreliability corresponding to the operating parameters, the operation request information, and the operation history information, and in compliance with the event tree; a risk-cost calculation unit that calculates risk-cost by determining the aggregate product of the degrees of unreliability and restoration costs; an operating method determination unit that determines whether operating conditions are suitable by comparing the risk-cost with profit gained by continuing operation; and an operating method specification unit that specifies specific operation conditions for the plant equipment.

Plant apparatus operation support device

Cause of abnormalities of an abnormal state of a control system of a plant of a turbine are estimated and diagnosed from characteristics of abnormal phenomena. By using a control system abnormality cause-and-effect matrix in which characteristics of a plurality of abnormal phenomena constructed on a knowledge base are correlated with a plurality of causes by correlating (weighting) scores, plant devices causing abnormality are inferred and diagnosed.

System and method for diagnosing abnormalities in plant control system

Data on inspection, diagnosis, repair and operation histories are entered in a plant-maintenance apparatus for equipment that constitute a plant to be maintained. Failure-event tree breakdown is performed on failures to be expected for the equipment. Unreliability is predicted of at least one starting item in the failure-event tree breakdown. Unreliability of each item in the failure-event tree is calculated based on a failure unreliability function. Unreliability and a cost of recovery from each failure event in the failure-event tree are multiplied and results of the multiplication are accumulated in accordance with the tree breakdown to obtain a recovery cost. Preventive maintenance expenses are calculated for preventing failure events. Maintenance timing and technique are decided through comparison between the recovery cost and the preventive maintenance expenses.

Plant maintenance method and apparatus

An apparatus for maintaining plant equipment incorporates an input unit to receive information on targets and ranges of plant equipment to be maintained and a failure-event tree breakdown unit to perform tree-breakdown on failures to be expected from events to be inspected. A failure-unreliability function calculation unit calculates unreliability of each item in failure-event tree breakdown and a failure-derived monetary loss calculation unit multiplies each unreliability and a cost of recovery from each event in accordance with the failure-event tree breakdown. A preventive maintenance expense calculation unit calculates preventive maintenance expenses for preventing failure events and a maintenance decision-making unit decides maintenance timing and technique through comparison between the recovery cost and the preventive maintenance expense.

A vibration diagnosis is performed by using a vibration mode interactive query section grasping vibration event of a machinery such as turbine rotor and characteristic feature thereof from detected data information, a vibration factor diagnosis section estimating a vibration factor based on the information from the vibration mode interactive query section, and a diagnosis result display section indicating the estimated vibration factor and a guidance for countermeasure to be taken against the vibration factor.

Apparatus and method of diagnosing machinery damage factor

A plant diagnosis system friendly to a user (a plant-operating organization) for identifying an abnormality of an objective plant or machinery thereof, is provided. The plant diagnosis system includes a diagnoser's sub-system including a diagnosis computer and a terminal for a diagnosis expert and is connected via a network to a user's sub-system including a terminal for communicating with the diagnoser's sub-system. The plant diagnosis system provides a simple but repetitively available primary diagnosis and a detailed secondary diagnosis including the expert's judgement, which are selectively available on the user's initiative. The diagnosis computer receives a diagnosis request and plant state variables of the plant or machinery and executes the primary diagnosis and a part of the secondary diagnosis based on the plant state valuables.

Method and system for diagnosis of plant

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Kanagawa-ken, Japan

Seiichi Asatsu